This document discusses an efficient semantic data alignment approach based on fuzzy c-means (FCM) clustering to infer user search goals using feedback sessions. It aims to cluster similar pseudo-documents representing user feedback sessions to better understand user search intents for a given query. The approach first collects feedback sessions from search results and generates pseudo-documents. It then uses FCM clustering to group similar pseudo-documents while also measuring semantic similarity between terms. This is an improvement over k-means clustering which does not consider semantic similarity. The results are evaluated using metrics like classified average precision and show this FCM-based approach performs better than clustering without semantic alignment.
User search goal inference and feedback session using fast generalized – fuzz...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A New Algorithm for Inferring User Search Goals with Feedback SessionsIJERA Editor
When different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. The Novel approach to infer user search goals by analyzing search engine query logs. Once the User entered the query, the Resultant URLs will be filtered and the Pseudo-Documents are generated. Once the Pseudo documents are generated the Server will apply the Clustering Mechanism to URL’s. So that the URLs are listed as different categories. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of user. Second, we propose a novel approach to generate pseudo documents to better represents the feedback sessions for clustering. Finally we proposed new criterion “Classified Average Precision (CAP)” to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods. Third, the distributions of user search goals can also be useful in applications such as re ranking web search results that contain different user search goals.
Performance Evaluation of Query Processing Techniques in Information Retrievalidescitation
The first element of the search process is the query.
The user query being on an average restricted to two or three
keywords makes the query ambiguous to the search engine.
Given the user query, the goal of an Information Retrieval
[IR] system is to retrieve information which might be useful
or relevant to the information need of the user. Hence, the
query processing plays an important role in IR system.
The query processing can be divided into four categories
i.e. query expansion, query optimization, query classification and
query parsing. In this paper an attempt is made to evaluate the
performance of query processing algorithms in each of the
category. The evaluation was based on dataset as specified by
Forum for Information Retrieval [FIRE15]. The criteria used
for evaluation are precision and relative recall. The analysis is
based on the importance of each step in query processing. The
experimental results show that the significance of each step
in query processing and also the relevance of web semantics
and spelling correction in the user query.
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...IRJET Journal
This document proposes a system to analyze sentiment from live streaming text and videos on websites like Twitter and YouTube. It uses an algorithm that calculates sentiment scores for words and sentences and classifies them as positive or negative. The system accesses streaming data through API keys and performs sentiment analysis on both text and videos to improve accuracy. It stores the results in a MongoDB database for future reference. The goal is to help users analyze sentiment toward any search keyword from streaming data in real-time.
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...ijdmtaiir
-In this study a comprehensive evaluation of two
supervised feature selection methods for dimensionality
reduction is performed - Latent Semantic Indexing (LSI) and
Principal Component Analysis (PCA). This is gauged against
unsupervised techniques like fuzzy feature clustering using
hard fuzzy C-means (FCM) . The main objective of the study is
to estimate the relative efficiency of two supervised techniques
against unsupervised fuzzy techniques while reducing the
feature space. It is found that clustering using FCM leads to
better accuracy in classifying documents in the face of
evolutionary algorithms like LSI and PCA. Results show that
the clustering of features improves the accuracy of document
classification
IRJET- Finding Related Forum Posts through Intention-Based SegmentationIRJET Journal
This document presents a novel technique for finding related discussion posts on forums by segmenting each post into sections based on the intention of the author. Each section aims to convey a different message or objective. Relatedness between posts is determined by comparing sections that share the same intention, rather than comparing the full text of posts. The technique involves identifying sections within each post using linguistic and semantic cues. Sections with the same intention are then clustered together. The effectiveness of this intention-based segmentation for suggesting related forum posts is evaluated on real user data from different domains. The proposed approach is found to be more effective at determining post relatedness than direct text comparisons of full posts.
A Hybrid Approach for Supervised Twitter Sentiment Classification ....................................................1
K. Revathy and Dr. B. Sathiyabhama
A Survey of Dynamic Duty Cycle Scheduling Scheme at Media Access Control Layer for Energy
Conservation .....................................................................................................................................1
Prof. M. V. Nimbalkar and Sampada Khandare
A Survey on Privacy Preserving Data Mining Techniques ....................................................................1
A. K. Ilavarasi, B. Sathiyabhama and S. Poorani
An Ontology Based System for Predicting Disease using SWRL Rules ...................................................1
Mythili Thirugnanam, Tamizharasi Thirugnanam and R. Mangayarkarasi
Performance Evaluation of Web Services in C#, JAVA, and PHP ..........................................................1
Dr. S. Sagayaraj and M. Santhosh Kumar
Semi-Automated Polyhouse Cultivation Using LabVIEW......................................................................1
Prathiba Jonnala and Sivaji Satrasupalli
Performance of Biometric Palm Print Personal Identification Security System Using Ordinal Measures 1
V. K. Narendira Kumar and Dr. B. Srinivasan
MIMO System for Next Generation Wireless Communication..............................................................1
Sharif, Mohammad Emdadul Haq and Md. Arif Rana
Context Sensitive Search String Composition Algorithm using User Intention to...IJECEIAES
Finding the required URL among the first few result pages of a search engine is still a challenging task. This may require number of reformulations of the search string thus adversely affecting user's search time. Query ambiguity and polysemy are major reasons for not obtaining relevant results in the top few result pages. Efficient query composition and data organization are necessary for getting effective results. Context of the information need and the user intent may improve the autocomplete feature of existing search engines. This research proposes a Funnel Mesh-5 algorithm (FM5) to construct a search string taking into account context of information need and user intention with three main steps 1) Predict user intention with user profiles and the past searches via weighted mesh structure 2) Resolve ambiguity and polysemy of search strings with context and user intention 3) Generate a personalized disambiguated search string by query expansion encompassing user intention and predicted query. Experimental results for the proposed approach and a comparison with direct use of search engine are presented. A comparison of FM5 algorithm with K Nearest Neighbor algorithm for user intention identification is also presented. The proposed system provides better precision for search results for ambiguous search strings with improved identification of the user intention. Results are presented for English language dataset as well as Marathi (an Indian language) dataset of ambiguous search strings.
User search goal inference and feedback session using fast generalized – fuzz...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A New Algorithm for Inferring User Search Goals with Feedback SessionsIJERA Editor
When different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. The Novel approach to infer user search goals by analyzing search engine query logs. Once the User entered the query, the Resultant URLs will be filtered and the Pseudo-Documents are generated. Once the Pseudo documents are generated the Server will apply the Clustering Mechanism to URL’s. So that the URLs are listed as different categories. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of user. Second, we propose a novel approach to generate pseudo documents to better represents the feedback sessions for clustering. Finally we proposed new criterion “Classified Average Precision (CAP)” to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods. Third, the distributions of user search goals can also be useful in applications such as re ranking web search results that contain different user search goals.
Performance Evaluation of Query Processing Techniques in Information Retrievalidescitation
The first element of the search process is the query.
The user query being on an average restricted to two or three
keywords makes the query ambiguous to the search engine.
Given the user query, the goal of an Information Retrieval
[IR] system is to retrieve information which might be useful
or relevant to the information need of the user. Hence, the
query processing plays an important role in IR system.
The query processing can be divided into four categories
i.e. query expansion, query optimization, query classification and
query parsing. In this paper an attempt is made to evaluate the
performance of query processing algorithms in each of the
category. The evaluation was based on dataset as specified by
Forum for Information Retrieval [FIRE15]. The criteria used
for evaluation are precision and relative recall. The analysis is
based on the importance of each step in query processing. The
experimental results show that the significance of each step
in query processing and also the relevance of web semantics
and spelling correction in the user query.
IRJET- Sentimental Prediction of Users Perspective through Live Streaming : T...IRJET Journal
This document proposes a system to analyze sentiment from live streaming text and videos on websites like Twitter and YouTube. It uses an algorithm that calculates sentiment scores for words and sentences and classifies them as positive or negative. The system accesses streaming data through API keys and performs sentiment analysis on both text and videos to improve accuracy. It stores the results in a MongoDB database for future reference. The goal is to help users analyze sentiment toward any search keyword from streaming data in real-time.
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...ijdmtaiir
-In this study a comprehensive evaluation of two
supervised feature selection methods for dimensionality
reduction is performed - Latent Semantic Indexing (LSI) and
Principal Component Analysis (PCA). This is gauged against
unsupervised techniques like fuzzy feature clustering using
hard fuzzy C-means (FCM) . The main objective of the study is
to estimate the relative efficiency of two supervised techniques
against unsupervised fuzzy techniques while reducing the
feature space. It is found that clustering using FCM leads to
better accuracy in classifying documents in the face of
evolutionary algorithms like LSI and PCA. Results show that
the clustering of features improves the accuracy of document
classification
IRJET- Finding Related Forum Posts through Intention-Based SegmentationIRJET Journal
This document presents a novel technique for finding related discussion posts on forums by segmenting each post into sections based on the intention of the author. Each section aims to convey a different message or objective. Relatedness between posts is determined by comparing sections that share the same intention, rather than comparing the full text of posts. The technique involves identifying sections within each post using linguistic and semantic cues. Sections with the same intention are then clustered together. The effectiveness of this intention-based segmentation for suggesting related forum posts is evaluated on real user data from different domains. The proposed approach is found to be more effective at determining post relatedness than direct text comparisons of full posts.
A Hybrid Approach for Supervised Twitter Sentiment Classification ....................................................1
K. Revathy and Dr. B. Sathiyabhama
A Survey of Dynamic Duty Cycle Scheduling Scheme at Media Access Control Layer for Energy
Conservation .....................................................................................................................................1
Prof. M. V. Nimbalkar and Sampada Khandare
A Survey on Privacy Preserving Data Mining Techniques ....................................................................1
A. K. Ilavarasi, B. Sathiyabhama and S. Poorani
An Ontology Based System for Predicting Disease using SWRL Rules ...................................................1
Mythili Thirugnanam, Tamizharasi Thirugnanam and R. Mangayarkarasi
Performance Evaluation of Web Services in C#, JAVA, and PHP ..........................................................1
Dr. S. Sagayaraj and M. Santhosh Kumar
Semi-Automated Polyhouse Cultivation Using LabVIEW......................................................................1
Prathiba Jonnala and Sivaji Satrasupalli
Performance of Biometric Palm Print Personal Identification Security System Using Ordinal Measures 1
V. K. Narendira Kumar and Dr. B. Srinivasan
MIMO System for Next Generation Wireless Communication..............................................................1
Sharif, Mohammad Emdadul Haq and Md. Arif Rana
Context Sensitive Search String Composition Algorithm using User Intention to...IJECEIAES
Finding the required URL among the first few result pages of a search engine is still a challenging task. This may require number of reformulations of the search string thus adversely affecting user's search time. Query ambiguity and polysemy are major reasons for not obtaining relevant results in the top few result pages. Efficient query composition and data organization are necessary for getting effective results. Context of the information need and the user intent may improve the autocomplete feature of existing search engines. This research proposes a Funnel Mesh-5 algorithm (FM5) to construct a search string taking into account context of information need and user intention with three main steps 1) Predict user intention with user profiles and the past searches via weighted mesh structure 2) Resolve ambiguity and polysemy of search strings with context and user intention 3) Generate a personalized disambiguated search string by query expansion encompassing user intention and predicted query. Experimental results for the proposed approach and a comparison with direct use of search engine are presented. A comparison of FM5 algorithm with K Nearest Neighbor algorithm for user intention identification is also presented. The proposed system provides better precision for search results for ambiguous search strings with improved identification of the user intention. Results are presented for English language dataset as well as Marathi (an Indian language) dataset of ambiguous search strings.
An effective search on web log from most popular downloaded contentijdpsjournal
A Web page recommender system effectively predicts the best related web page to search. While search
ing
a word from search engine it may display some unnecessary links and unrelated data’s to user so to a
void
this problem, the con
ceptual prediction model combines both the web usage and domain knowledge. The
proposed conceptual prediction model automatically generates a semantic network of the semantic Web
usage knowledge, which is the integration of domain knowledge and web usage i
nformation. Web usage
mining aims to discover interesting and frequent user access patterns from web browsing data. The
discovered knowledge can then be used for many practical web applications such as web
recommendations, adaptive web sites, and personali
zed web search and surfing
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Latent semantic analysis and cosine similarity for hadith search engineTELKOMNIKA JOURNAL
Search engine technology was used to find information as needed easily, quickly and efficiently, including in searching the information about the hadith which was a second guideline of life for muslim besides the Holy Qur'an. This study was aim to build a specialized search engine to find information about a complete and eleven hadith in Indonesian language. In this research, search engines worked by using latent semantic analysis (LSA) and cosine similarity based on the keywords entered. The LSA and cosine similarity methods were used in forming structured representations of text data as well as calculating the similarity of the keyword text entered with hadith text data, so the hadith information was issued in accordance with what was searched. Based on the results of the test conducted 50 times, it indicated that the LSA and cosine similarity had a success rate in finding high hadith information with an average recall value was 87.83%, although from all information obtained level of precision hadith was found semantically not many, it was indicated by the average precision value was 36.25%.
Scalable recommendation with social contextual informationeSAT Journals
Abstract Recommender systems are used to achieve effective and useful results in a social networks. The social recommendation will provide a social network structure but it is challenging to fuse social contextual factors which are derived from user’s motivation of social behaviors into social recommendation. Here, we introduce two contextual factors in recommender systems which are used to adopt a useful results namely a) individual preference and b) interpersonal influence. Individual preference analyze the social interests of an item content with user’s interest and adopt only users recommended results. Interpersonal influence is analyzing user-user interaction and their specific social relations. Beyond this, we propose a novel probabilistic matrix factorization method to fuse them in a latent space. The scalable algorithm provides a useful results by analyzing the ranking probability of each user social contextual information and also incrementally process the contextual data in large datasets. Keywords: social recommendation, individual preference, interpersonal influence, matrix factorization
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
This document describes a system called UProRevs that aims to personalize web search results based on a user's profile and interests.
The system works as a filter that takes the results from a normal search engine like Google and re-ranks them based on their relevance to the user's profile. It generates user profiles based on information provided during registration, and updates the profiles over time based on the user's feedback on search results.
The system calculates relevance scores for search results by comparing the keywords in each web page to those in the user's profile. Results are displayed along with their relevance scores. As the user provides feedback, their profile is updated, allowing the system to continuously improve the personalization of search
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document discusses techniques for personalizing search engine results using concept-based user profiles. It proposes six methods for creating user profiles that capture both positive and negative user preferences and interests based on concepts extracted from search queries and results. The methods use machine learning algorithms to learn weighted concept vectors representing user profiles. An evaluation found that profiles capturing both positive and negative preferences performed best. The goal is to resolve query ambiguity and increase result relevance by understanding each user's unique interests and preferences.
QUERY SENSITIVE COMPARATIVE SUMMARIZATION OF SEARCH RESULTS USING CONCEPT BAS...cseij
Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs from the search result. User selects a set of web page links from the search result produced by search engine. Comparative summary of these selected web sites is generated. This method makes use of HTML DOM tree structure of these web pages. HTML documents are segmented into set of concept blocks. Sentence score of each concept block is computed with respect to the query and feature keywords. The important sentences from the concept blocks of different web pages are extracted to compose the comparative summary on the fly. This system reduces the time and effort required for the user to browse various web sites to compare the information. The comparative summary of the contents would help the users in quick decision making.
Multi Similarity Measure based Result Merging Strategies in Meta Search EngineIDES Editor
In Meta Search Engine result merging is the key
component. Meta Search Engines provide a uniform query
interface for Internet users to search for information.
Depending on users’ needs, they select relevant sources and
map user queries into the target search engines, subsequently
merging the results. The effectiveness of a Meta Search
Engine is closely related to the result merging algorithm it
employs. In this paper, we have proposed a Meta Search
Engine, which has two distinct steps (1) searching through
surface and deep search engine, and (2) Ranking the results
through the designed ranking algorithm. Initially, the query
given by the user is inputted to the deep and surface search
engine. The proposed method used two distinct algorithms
for ranking the search results, concept similarity based
method and cosine similarity based method. Once the results
from various search engines are ranked, the proposed Meta
Search Engine merges them into a single ranked list. Finally,
the experimentation will be done to prove the efficiency of
the proposed visible and invisible web-based Meta Search
Engine in merging the relevant pages. TSAP is used as the
evaluation criteria and the algorithms are evaluated based on
these criteria.
This document summarizes a research paper that proposes a novel approach for dynamic personalized recommendation. It utilizes information from user ratings and profiles to develop dynamic features that describe user preferences over multiple phases of interest. An adaptive weighting algorithm then makes recommendations by weighting these dynamic features based on the amount of rating data available. The proposed approach was tested on public datasets and performed well for dynamic recommendation compared to existing algorithms.
This document discusses methods for measuring semantic similarity between words. It begins by discussing how traditional lexical similarity measurements do not consider semantics. It then discusses several existing approaches that measure semantic similarity using web search engines and text snippets. These approaches calculate word co-occurrence statistics from page counts and analyze lexical patterns extracted from snippets. Pattern clustering is used to group semantically similar patterns. The approaches are evaluated using datasets and metrics like precision and recall. Finally, the document proposes a new method that combines page count statistics, lexical pattern extraction and clustering, and support vector machines to measure semantic similarity.
This document summarizes various approaches to web search personalization that have been proposed by researchers. It discusses 12 different approaches that use techniques such as building user profiles based on browsing history and click data, constructing personalized ontologies and taxonomies, re-ranking search results based on learned user interests, and updating user profiles based on implicit feedback during web browsing. The document concludes that personalized search is needed to better tailor search results to individual users and their contexts, and that continued research on innovative personalization techniques is important as the amount of online information grows.
A Proposal on Social Tagging Systems Using Tensor Reduction and Controlling R...ijcsa
Social Tagging System is the process in which user makes their interest by tagging on a particular item. These STS are in associated with web 2.0 and has sourceful information for the users with their recommendations. It provides different types of recommendations are modeled by a 3-order tensor, on which multiway latent semantic analysis and dimensionality reduction is performed using both the Higher Order Singular Value Decomposition (HOSVD) method and the KernelSVD smoothing technique. We provide now with the 4-order tensor approach, which we named as Tensor Reduction. Here the items that are tagged can be viewed by the user who are recommended the same item and tagged over it. There by can improve the social tagging recommendations efficiency and also the unwanted request has been controlled. The results show significant improvements in terms of effectiveness.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes a research paper on developing user profiles from search engine queries to enable personalized search results. It discusses how current search engines generally return the same results regardless of individual user interests. The paper proposes methods to construct user profiles capturing both positive and negative preferences from search histories and click-through data. Experimental results showed profiles including both preferences performed best by improving query clustering and separating similar vs. dissimilar queries. Future work aims to use profiles for collaborative filtering and predicting new query intents.
Abstract: Smartphones have become very common. It has claims in all the fields such as private use, in government groups such as defence, military etc. It has become common because of occurrence of huge number of applications. Smartphones convey large amount of personal material, such as user’s private details, contacts, messages, emails, credit card information, etc. This delicate- materialpresent, needs security and privacy. The project suggests the idea of securing the Private information such as contacts, browsing history, cookies, credit card information etc, present on the user profile of a personalized search engine. Security is provided by locking and wiping the data of the phone from a remote server, in the event of phone getting lost or stolen. To achieve this, message authentication code technique is used. The authenticity and integrity of the message is proved by a short piece of information. Integrity governs accidental and intentional message changes and authenticity governs the message’s origin. It stops malicious users from launching denial of service attacks. A Secure Hash Algorithm is used to produce a hash value which Converts plaintext to encoded message and outputs a MAC. The MAC defends both message data integrity and its authenticity by permitting receivers who also possess the secret key to detect any changes to message content.Keywords: Clickthrough data, abstraction, location search, mobile search engine, ontology, user profiling.
Title: Private Mobile Search Engine Using RSVM Training
Author: Ms. Mayuri A. Auti, Dr. S. V. Gumaste
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Improving search result via search keywords and data classification similarityConference Papers
This document proposes a new method to improve search results by predicting queries based on similarity between input queries and historical data of keywords and their classifications. It involves extracting keywords from queries and classifying them using named entity recognition and lexical databases. Prediction rules are generated by analyzing relationships between keywords and classifications in historical data. These rules are then used to predict additional related keywords for new queries to enhance search criteria and provide more relevant search results. The method aims to address limitations of existing search engines that rely only on raw historical query data without enrichment to predict queries.
Une villa grand standing avec vue sur la mer dans une résidence créée pour apporter réponse somptueuse à vos envies de luxe et de tranquillité, c’est ce que vous propose La Tourelle, à Tamarin, Ile Maurice. http://latourellevillas.com/fr/
This document discusses the simulation of electrical field distribution in non-uniform dielectrics using the charge simulation method. It presents programs that can simulate field distribution in arrangements with cylinders of varying radii, insulation layers, and dielectric constants. The programs calculate accuracy indexes like potential error and angular displacement of field vectors. Simulation results show the field distribution through equipotential lines and potential/field values can be determined at any point. The programs allow estimating insulation withstand for power transformer outlet systems with accuracy under 0.58% for potentials.
The document summarizes the history of the internet in the Philippines from 1991 to 2004. It describes how in 1991, the internet was first accessible for private corporations to communicate with overseas companies. In 1993, PLDT made public email available and allowed subscribers to connect to international email providers. The document identifies Dr. William Torres and Dr. Rodolfo Villarica as the "Grandfather and Father" of the Philippine Internet, who led efforts in the late 1980s and early 1990s to connect the Philippines to the global internet network. Key events that expanded internet usage in the Philippines included universities connecting in 1994, the 1995 Telecommunications Act, and the establishment of internet exchanges in 1997 and 1998.
An effective search on web log from most popular downloaded contentijdpsjournal
A Web page recommender system effectively predicts the best related web page to search. While search
ing
a word from search engine it may display some unnecessary links and unrelated data’s to user so to a
void
this problem, the con
ceptual prediction model combines both the web usage and domain knowledge. The
proposed conceptual prediction model automatically generates a semantic network of the semantic Web
usage knowledge, which is the integration of domain knowledge and web usage i
nformation. Web usage
mining aims to discover interesting and frequent user access patterns from web browsing data. The
discovered knowledge can then be used for many practical web applications such as web
recommendations, adaptive web sites, and personali
zed web search and surfing
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Latent semantic analysis and cosine similarity for hadith search engineTELKOMNIKA JOURNAL
Search engine technology was used to find information as needed easily, quickly and efficiently, including in searching the information about the hadith which was a second guideline of life for muslim besides the Holy Qur'an. This study was aim to build a specialized search engine to find information about a complete and eleven hadith in Indonesian language. In this research, search engines worked by using latent semantic analysis (LSA) and cosine similarity based on the keywords entered. The LSA and cosine similarity methods were used in forming structured representations of text data as well as calculating the similarity of the keyword text entered with hadith text data, so the hadith information was issued in accordance with what was searched. Based on the results of the test conducted 50 times, it indicated that the LSA and cosine similarity had a success rate in finding high hadith information with an average recall value was 87.83%, although from all information obtained level of precision hadith was found semantically not many, it was indicated by the average precision value was 36.25%.
Scalable recommendation with social contextual informationeSAT Journals
Abstract Recommender systems are used to achieve effective and useful results in a social networks. The social recommendation will provide a social network structure but it is challenging to fuse social contextual factors which are derived from user’s motivation of social behaviors into social recommendation. Here, we introduce two contextual factors in recommender systems which are used to adopt a useful results namely a) individual preference and b) interpersonal influence. Individual preference analyze the social interests of an item content with user’s interest and adopt only users recommended results. Interpersonal influence is analyzing user-user interaction and their specific social relations. Beyond this, we propose a novel probabilistic matrix factorization method to fuse them in a latent space. The scalable algorithm provides a useful results by analyzing the ranking probability of each user social contextual information and also incrementally process the contextual data in large datasets. Keywords: social recommendation, individual preference, interpersonal influence, matrix factorization
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
This document describes a system called UProRevs that aims to personalize web search results based on a user's profile and interests.
The system works as a filter that takes the results from a normal search engine like Google and re-ranks them based on their relevance to the user's profile. It generates user profiles based on information provided during registration, and updates the profiles over time based on the user's feedback on search results.
The system calculates relevance scores for search results by comparing the keywords in each web page to those in the user's profile. Results are displayed along with their relevance scores. As the user provides feedback, their profile is updated, allowing the system to continuously improve the personalization of search
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document discusses techniques for personalizing search engine results using concept-based user profiles. It proposes six methods for creating user profiles that capture both positive and negative user preferences and interests based on concepts extracted from search queries and results. The methods use machine learning algorithms to learn weighted concept vectors representing user profiles. An evaluation found that profiles capturing both positive and negative preferences performed best. The goal is to resolve query ambiguity and increase result relevance by understanding each user's unique interests and preferences.
QUERY SENSITIVE COMPARATIVE SUMMARIZATION OF SEARCH RESULTS USING CONCEPT BAS...cseij
Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs from the search result. User selects a set of web page links from the search result produced by search engine. Comparative summary of these selected web sites is generated. This method makes use of HTML DOM tree structure of these web pages. HTML documents are segmented into set of concept blocks. Sentence score of each concept block is computed with respect to the query and feature keywords. The important sentences from the concept blocks of different web pages are extracted to compose the comparative summary on the fly. This system reduces the time and effort required for the user to browse various web sites to compare the information. The comparative summary of the contents would help the users in quick decision making.
Multi Similarity Measure based Result Merging Strategies in Meta Search EngineIDES Editor
In Meta Search Engine result merging is the key
component. Meta Search Engines provide a uniform query
interface for Internet users to search for information.
Depending on users’ needs, they select relevant sources and
map user queries into the target search engines, subsequently
merging the results. The effectiveness of a Meta Search
Engine is closely related to the result merging algorithm it
employs. In this paper, we have proposed a Meta Search
Engine, which has two distinct steps (1) searching through
surface and deep search engine, and (2) Ranking the results
through the designed ranking algorithm. Initially, the query
given by the user is inputted to the deep and surface search
engine. The proposed method used two distinct algorithms
for ranking the search results, concept similarity based
method and cosine similarity based method. Once the results
from various search engines are ranked, the proposed Meta
Search Engine merges them into a single ranked list. Finally,
the experimentation will be done to prove the efficiency of
the proposed visible and invisible web-based Meta Search
Engine in merging the relevant pages. TSAP is used as the
evaluation criteria and the algorithms are evaluated based on
these criteria.
This document summarizes a research paper that proposes a novel approach for dynamic personalized recommendation. It utilizes information from user ratings and profiles to develop dynamic features that describe user preferences over multiple phases of interest. An adaptive weighting algorithm then makes recommendations by weighting these dynamic features based on the amount of rating data available. The proposed approach was tested on public datasets and performed well for dynamic recommendation compared to existing algorithms.
This document discusses methods for measuring semantic similarity between words. It begins by discussing how traditional lexical similarity measurements do not consider semantics. It then discusses several existing approaches that measure semantic similarity using web search engines and text snippets. These approaches calculate word co-occurrence statistics from page counts and analyze lexical patterns extracted from snippets. Pattern clustering is used to group semantically similar patterns. The approaches are evaluated using datasets and metrics like precision and recall. Finally, the document proposes a new method that combines page count statistics, lexical pattern extraction and clustering, and support vector machines to measure semantic similarity.
This document summarizes various approaches to web search personalization that have been proposed by researchers. It discusses 12 different approaches that use techniques such as building user profiles based on browsing history and click data, constructing personalized ontologies and taxonomies, re-ranking search results based on learned user interests, and updating user profiles based on implicit feedback during web browsing. The document concludes that personalized search is needed to better tailor search results to individual users and their contexts, and that continued research on innovative personalization techniques is important as the amount of online information grows.
A Proposal on Social Tagging Systems Using Tensor Reduction and Controlling R...ijcsa
Social Tagging System is the process in which user makes their interest by tagging on a particular item. These STS are in associated with web 2.0 and has sourceful information for the users with their recommendations. It provides different types of recommendations are modeled by a 3-order tensor, on which multiway latent semantic analysis and dimensionality reduction is performed using both the Higher Order Singular Value Decomposition (HOSVD) method and the KernelSVD smoothing technique. We provide now with the 4-order tensor approach, which we named as Tensor Reduction. Here the items that are tagged can be viewed by the user who are recommended the same item and tagged over it. There by can improve the social tagging recommendations efficiency and also the unwanted request has been controlled. The results show significant improvements in terms of effectiveness.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes a research paper on developing user profiles from search engine queries to enable personalized search results. It discusses how current search engines generally return the same results regardless of individual user interests. The paper proposes methods to construct user profiles capturing both positive and negative preferences from search histories and click-through data. Experimental results showed profiles including both preferences performed best by improving query clustering and separating similar vs. dissimilar queries. Future work aims to use profiles for collaborative filtering and predicting new query intents.
Abstract: Smartphones have become very common. It has claims in all the fields such as private use, in government groups such as defence, military etc. It has become common because of occurrence of huge number of applications. Smartphones convey large amount of personal material, such as user’s private details, contacts, messages, emails, credit card information, etc. This delicate- materialpresent, needs security and privacy. The project suggests the idea of securing the Private information such as contacts, browsing history, cookies, credit card information etc, present on the user profile of a personalized search engine. Security is provided by locking and wiping the data of the phone from a remote server, in the event of phone getting lost or stolen. To achieve this, message authentication code technique is used. The authenticity and integrity of the message is proved by a short piece of information. Integrity governs accidental and intentional message changes and authenticity governs the message’s origin. It stops malicious users from launching denial of service attacks. A Secure Hash Algorithm is used to produce a hash value which Converts plaintext to encoded message and outputs a MAC. The MAC defends both message data integrity and its authenticity by permitting receivers who also possess the secret key to detect any changes to message content.Keywords: Clickthrough data, abstraction, location search, mobile search engine, ontology, user profiling.
Title: Private Mobile Search Engine Using RSVM Training
Author: Ms. Mayuri A. Auti, Dr. S. V. Gumaste
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Improving search result via search keywords and data classification similarityConference Papers
This document proposes a new method to improve search results by predicting queries based on similarity between input queries and historical data of keywords and their classifications. It involves extracting keywords from queries and classifying them using named entity recognition and lexical databases. Prediction rules are generated by analyzing relationships between keywords and classifications in historical data. These rules are then used to predict additional related keywords for new queries to enhance search criteria and provide more relevant search results. The method aims to address limitations of existing search engines that rely only on raw historical query data without enrichment to predict queries.
Une villa grand standing avec vue sur la mer dans une résidence créée pour apporter réponse somptueuse à vos envies de luxe et de tranquillité, c’est ce que vous propose La Tourelle, à Tamarin, Ile Maurice. http://latourellevillas.com/fr/
This document discusses the simulation of electrical field distribution in non-uniform dielectrics using the charge simulation method. It presents programs that can simulate field distribution in arrangements with cylinders of varying radii, insulation layers, and dielectric constants. The programs calculate accuracy indexes like potential error and angular displacement of field vectors. Simulation results show the field distribution through equipotential lines and potential/field values can be determined at any point. The programs allow estimating insulation withstand for power transformer outlet systems with accuracy under 0.58% for potentials.
The document summarizes the history of the internet in the Philippines from 1991 to 2004. It describes how in 1991, the internet was first accessible for private corporations to communicate with overseas companies. In 1993, PLDT made public email available and allowed subscribers to connect to international email providers. The document identifies Dr. William Torres and Dr. Rodolfo Villarica as the "Grandfather and Father" of the Philippine Internet, who led efforts in the late 1980s and early 1990s to connect the Philippines to the global internet network. Key events that expanded internet usage in the Philippines included universities connecting in 1994, the 1995 Telecommunications Act, and the establishment of internet exchanges in 1997 and 1998.
The document provides 27 tips to improve marketing efforts and sell more security systems. It recommends focusing on differentiating from competitors by conveying trust, being an information resource, clarifying services offered, and optimizing website content and links. Additional tips include cause marketing, testing approaches, keeping messaging simple, using webinars and multiple advertising methods, and training salespeople across different channels. The document concludes by offering an action plan template and contact information for marketing help.
To learn piano, one must understand the treble and bass clefs which indicate pitch, and know where each note falls on the keyboard. Learning which finger corresponds to each note is important, as is practicing hands separately before attempting more advanced pieces using both hands together.
1) The study explored the learning benefits of passive content like videos versus interactive activities in MOOCs and an optional interactive program (OLI).
2) Students who used both the MOOC and OLI scored higher (65.7%) on the final exam than those using just the MOOC (56.9%), and OLI students participated more in quizzes.
3) Across measures, students who engaged more with interactive activities like problem-solving ("doers") consistently outperformed those relying more on passive content like videos ("watchers"). Doing activities had the strongest impact on learning outcomes.
The document discusses strategies for attracting women. It suggests taking an initial assertive approach by starting conversations and asking for numbers, but then pulling back slightly to gauge interest and see if women follow. Some signs that a woman is interested include maintaining her half of the conversation, making eye contact, reciprocating light physical contact, and offering additional personal details without needing to be pulled from her. The key is to take the initial risks while also testing for interest before pursuing further.
Be thankful for challenges and limitations as they help you grow in strength and build character. Be grateful for mistakes and times of weariness as they provide learning opportunities and signify that you have made an impact. Practicing gratitude can help one find positivity even during difficult times.
Hinduism, Buddhism, Confucianism, Islam, Christianity, and animism are the main religions that have influenced Southeast Asia. Hinduism was the first major religion to arrive in the 1st century AD and emphasized concepts like Brahman, karma, and samsara. Buddhism, which teaches the four noble truths and eightfold path, mixed with local beliefs and appealed to common people. Confucianism promoted order, harmony, and education through five key relationships. Islam gained prominence in the 15th century AD with the five pillars of faith being central tenets. Christianity and animism also took hold by appealing to both the elite and poor, and believing spirits inhabit natural elements respectively.
Jennifer Fegan was born on February 7, 2000 in Langley, British Columbia and currently lives in St. Catharines, Ontario with her parents and younger brother. She has a 4-year old cat named Gidget whose birthday is August 18th. Jennifer enjoys spending time with friends, playing volleyball, badminton and basketball, and watching the TV show Pretty Little Liars. She is considering going to university for a medical field and becoming an OB/GYN.
Abbot Adso of Montier-en-Der wrote Libellus de Antichristo in the late 10th century. The document provides biographical context about Adso and historical context about Gerberga of Saxony, who was the sister of Otto I, Holy Roman Emperor, and wife to both Gislebert, Duke of Lotharingia, and later Louis IV, King of France. As the wife and widow of these powerful rulers, Gerberga played an influential role in contemporary European politics as a highly educated woman and active participant in the political affairs of the time.
La Unión Europea ha anunciado nuevas sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen prohibiciones de viaje y congelamiento de activos para más funcionarios rusos, así como restricciones a las importaciones de productos rusos de acero y tecnología. Los líderes de la UE esperan que estas medidas adicionales aumenten la presión sobre Rusia para poner fin a su guerra contra Ucrania.
1. Manchester encoding is a common digital encoding method that encodes both clock and signal information into a single serial signal. It ensures the encoded signal has an average DC level of 50% regardless of the data.
2. The paper describes the design of a digital-to-digital encoding circuit using a microcontroller, latch, amplifier, solid state relay and computer. Data is encoded using the Manchester encoding algorithm and transmitted serially.
3. Experimental results show the circuit correctly encodes a sample nibble of data using the Manchester algorithm, changing the output signal voltage according to each bit value. The encoding scheme provides synchronization and eliminates DC components from the transmitted data.
People's reporter vol. 28, issue 6, march 25 april 10, 2015VIBHUTI PATEL
The WCC Central Committee undertook a visit to Israel and Palestine from March 7-12 to express solidarity with churches and people in the region. The delegation met with church leaders and representatives to discuss supporting peace initiatives and reflecting on the clear wish for a just peace. Despite being a religious minority, Christians are strongly active in public life and working for justice and peace. The WCC is committed to accompanying peace and reconciliation efforts in the Middle East and believes peaceful solutions can only be achieved together with others.
Livestock farmers’ perception on generation of cattle waste Alexander Decker
This document discusses a study on livestock farmers' perceptions of cattle waste-based biogas methane generation in Embu West District, Kenya. The study surveyed 156 livestock farmers, most of whom practiced zero-grazing and had multiple cows. Only 14% had installed biogas digesters. The study found that farmers had a positive perception of biogas technology and knowledge of how it works, despite the low adoption rate. Statistical analysis showed no significant relationship between perception and adoption level. However, there was a significant relationship between perception and knowledge. The research concluded that other factors beyond perception, like installation costs, contributed more to the low uptake of biogas technology.
IRJET- A Novel Technique for Inferring User Search using Feedback SessionsIRJET Journal
This document proposes a novel technique to infer user search goals using feedback sessions. It aims to address limitations in existing approaches like noisy search results, small numbers of clicked URLs, and lack of consideration of user feedback. The proposed approach generates feedback sessions from user click logs, pre-processes the data, extracts keywords from restructured results, re-ranks the results based on keywords and user history, and categorizes the re-ranked results using predefined categories. The technique is evaluated using Average Precision, which compares it to other clustering and classification algorithms. The goal is to improve information retrieval by better representing user search interests and needs.
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...journalBEEI
The Internet has facilitated the growth of recommendation system owing to the ease of sharing customer experiences online. It is a challenging task to summarize and streamline the online textual reviews. In this paper, we propose a new framework called Fuzzy based contextual recommendation system. For classification of customer reviews we extract the information from the reviews based on the context given by users. We use text mining techniques to tag the review and extract context. Then we find out the relationship between the contexts from the ontological database. We incorporate fuzzy based semantic analyzer to find the relationship between the review and the context when they are not found therein. The sentence based classification predicts the relevant reviews, whereas the fuzzy based context method predicts the relevant instances among the relevant reviews. Textual analysis is carried out with the combination of association rules and ontology mining. The relationship between review and their context is compared using the semantic analyzer which is based on the fuzzy rules.
This document summarizes a research paper that proposes a framework for personalized web search using query log and clickthrough data. The framework implements a re-ranking approach that combines user search context and browsing behavior to generate personalized search results with high relevance. The framework consists of five components: a request handler, query processor, result handler, event handler, and response handler. The result handler applies a re-ranking approach using query log and clickthrough data to personalize search results before returning them to the user. An evaluation found the framework and re-ranking approach to be effective for personalized web search and information retrieval.
This document summarizes a research paper that proposes a novel framework for personalized web search using query log and clickthrough data. The framework implements a re-ranking approach to generate personalized search results with high relevance. It derives an extended set of user preferences and concepts based on extracted data from query logs and clickthrough information. An evaluation found the framework and re-ranking approach to be highly effective for personalized search and information retrieval.
The document describes a proposed fuzzy logic-based model for classifying web users in a personalized search system. The model collects user browsing data using a customized browser. It then fuzzifies the data and generates fuzzy rules using decision trees. These rules are used to label search pages and group users according to their search interests. The model is evaluated against a Bayesian classifier and shown to perform better. The goal is to handle the dynamic and fluctuating nature of user behavior and interests that exist in a personalized web search environment.
The size of the Internet enlarging as per to grow the users of search providers continually demand search
results that are accurate to their wishes. Personalized Search is one of the options available to users in
order to sculpt search results based on their personal data returned to them provided to the search
provider. This brings up fears of privacy issues however, as users are typically anxious to revealing
personal info to an often faceless service provider along the Internet. This work proposes to administer
with the privacy issues surrounding personalized search and discusses ways that privacy can be improved
so that users can get easier with the dismissal of their personal information in order to obtain more precise
search results.
Personalized web search using browsing history and domain knowledgeRishikesh Pathak
This document proposes a framework for improving personalized web search by constructing an enhanced user profile using both the user's browsing history and domain knowledge. The enhanced user profile is used to better suggest relevant web pages to the user based on their search query. An experiment found that suggestions made using the enhanced user profile performed better than using a standard user profile alone. The framework involves modeling the user, re-ranking search results, and displaying personalized results based on the enhanced user profile.
IJRET : International Journal of Research in Engineering and TechnologyImprov...eSAT Publishing House
This document summarizes techniques for improving web search results through web personalization. It discusses how web usage mining can be used to optimize information by monitoring user interaction histories and profiles. The proposed system aims to reduce manual user feedback by implicitly gathering preferences from behaviors like click-through rates and dwell times. It introduces an algorithm that calculates new ranking values for websites based on keyword matches and time spent on pages, and swaps ranks accordingly. This system provides personalized search results by continuously updating rankings based on implicit user interactions.
Query Recommendation by using Collaborative Filtering ApproachIRJET Journal
This document proposes a system called QDMiner to mine query facets from the top search results for a query. It uses collaborative filtering techniques to recommend the top-k results that are most relevant to a user's interests.
QDMiner first retrieves the top search results from a search engine. It then mines frequent lists from the HTML tags and free text within the results to identify query facets. It groups common lists and ranks the facets and items based on their appearances. QDMiner represents the search results in two models: the Unique Website Model and Context Similarity Model, to order the query facets.
To recommend results, QDMiner uses collaborative filtering techniques including item-based and user-based
This document proposes a new advanced e-commerce recommendation system that incorporates additional data beyond a user's purchase history to provide improved recommendations. Specifically, it suggests combining a user's search and purchase history with data from social media platforms like Twitter, reviews from sites like Amazon and Snapdeal, the user's location and preferences. This additional data could allow the system to recommend items a user has not previously purchased. It also describes some limitations of existing recommendation systems that only consider purchase history or require clustering users. The proposed system would use clustering and collaborative filtering together to group similar products and then make recommendations based on the evaluations within each cluster to improve accuracy.
Determining Relevance Rankings with Search Click LogsInderjeet Singh
This document provides an abstract and introduction for a thesis proposal to develop a user behavior model from search click logs that considers trust bias and clicks on other parts of search pages. The model will estimate document relevance to overcome limitations of existing models. The proposal outlines related work on using click logs to estimate document relevance, modeling trust bias, and automatically generating training data labels. It proposes evaluating the new model by comparing relevance estimates to editorial judgments and earlier models, and testing an improved ranking function.
The document describes a system called UProRevs that aims to personalize web search results based on the user's profile and interests. It does this by taking the results from a normal search engine, calculating the relevance of each result to the user's profile, and displaying the results along with this relevance score. The system generates user profiles based on information provided during registration and updates them over time based on the user's feedback on search results. It calculates relevance by comparing keywords from the user profile and web page, and weighting them based on their ranks in each profile. The goal is to provide more useful search results tailored to each individual user's perspective.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Recommendation generation by integrating sequential pattern mining and semanticseSAT Journals
Abstract As the Internet usage keeps increasing, the number of web sites and hence the number of web pages also keeps increasing. A recommendation system can be used to provide personalized web service by suggesting the pages that are likely to be accessed in future. Most of the recommendation systems are based on association rule mining or based on keywords. Using the association rule mining the prediction rate is less as it doesn’t take into account the order of access of the web pages by the users. The recommendation systems that are key-word based provides lesser relevant results. This paper proposes a recommendation system that uses the advantages of sequential pattern mining and semantics over the association rule mining and keyword based systems respectively. Keywords: Sequential Pattern Mining, Taxonomy, Apriori-All, CS-Mine, Semantic, Clustering
This document discusses domain specific search and ranking model adaptation using a binary classifier. It proposes using a ranking adaptation support vector machine (RA-SVM) to adapt an existing broad-based ranking model to a new targeted domain with limited labeled data. The RA-SVM utilizes predictions from the existing model as well as domain specific features to build a robust ranking model for the target domain. It evaluates the adapted model using precision, recall, average precision and Kendall's Tau metrics. The goal is to minimize the amount of labeled data needed for the target domain while still achieving good performance.
Building a recommendation system based on the job offers extracted from the w...IJECEIAES
Recruitment, or job search, is increasingly used throughout the world by a large population of users through various channels, such as websites, platforms, and professional networks. Given the large volume of information related to job descriptions and user profiles, it is complicated to appropriately match a user's profile with a job description, and vice versa. The job search approach has drawbacks since the job seeker needs to search a job offers in each recruitment platform, manage their accounts, and apply for the relevant job vacancies, which wastes considerable time and effort. The contribution of this research work is the construction of a recommendation system based on the job offers extracted from the web and on the e-portfolios of job seekers. After the extraction of the data, natural language processing is applied to structured data and is ready for filtering and analysis. The proposed system is a content-based system, it measures the degree of correspondence between the attributes of the e-portfolio with those of each job offer of the same list of competence specialties using the Euclidean distance, the result is classified with a decreasing way to display the most relevant to the least relevant job offers
A new algorithm for inferring user search goals with feedback sessionsJPINFOTECH JAYAPRAKASH
This document proposes a new algorithm to infer user search goals from query logs. It clusters feedback sessions from click-through data to discover different goals for an ambiguous query. It generates pseudo-documents to represent sessions for clustering. The algorithm evaluates inferred goals using a new metric called Classified Average Precision. Experiments on a commercial search engine validate the method effectively discovers user search goals.
Improving Ranking Web Documents using User’s Feedbacks...............................................................1
Fatemeh Ehsanifar and Hasan Naderi
A Survey on Sparse Representation based Image Restoration ............................................................... 11
Dr. S. Sakthivel and M. Parameswari
Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs
.................................................................................................................................................................... 25
Sajad Bolhasani and Hasan Naderi
A Survey on Prioritization Methodologies to Prioritize Non-Functional Requirements ........................ 32
Saranya. B., Subha. R and Dr. Palaniswami. S.
A Review on Various Visual Cryptography Schemes ................................................................................ 45
Nagesh Soradge and Prof. K. S. Thakare
Web Page Access Prediction based on an Integrated Approach ............................................................. 55
Phyu Thwe
A Survey on Bi-Clustering and its Applications ..................................................................................65
K. Sathish Kumar, M. Ramalingam and Dr. V. Thiagarasu
Pixel Level Image Fusion: A Neuro-Fuzzy Approach ................................................................................ 71
Swathy Nair, Bindu Elias and VPS Naidu
A Comparative Analysis on Visualization of Microarray Gene Expression Data...................................... 87
Poornima. S and Dr. J. Jeba Emilyn
This document summarizes an article from the International Journal of Engineering Research and Applications titled "Explicit User Profiles for Semantic Web Search Using XML" by C. Srinvas.
The article discusses how to build explicit user profiles using XML to personalize semantic web searches. It covers collecting user data, inferring user profiles, and representing profiles. The key approach is to define an ontology of topics and annotate concepts with interest scores that are continuously updated based on user behavior using spreading activation methods. This builds ontological user profiles that represent user interests to improve search accuracy.
Dynamic Organization of User Historical QueriesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Similar to TWO WAY CHAINED PACKETS MARKING TECHNIQUE FOR SECURE COMMUNICATION IN WIRELESS SENSOR NETWORKS (20)
Patient compliance: Challenges in management of cardiac diseases in Kuala Lum...pharmaindexing
Background
The objective of this study was to investigate the degree of compliance among cardiac patients who attend the health facilities in Kuala Lumpur and Perak, Malaysia. The reasons for non-compliance and recommendations from healthcare professionals were also evaluated.
Method
A cross-sectional study of 400 patients and 100 healthcare professionals was carried out. This study utilizes variables on external factors and internal factors as the measurement tools. The questionnaire which consists of Morisky self-reported medication adherence questions was administered to patients and causes for non-compliance sought. Questionnaire for healthcare professionals was used to determine strategies that can improve compliance rate.
Results
The study revealed a 15.8% of high adherence rate, 54.3% of moderate adherence rate and 30% of poor adherence to cardiovascular disease medications. The chi-square tests showed the strong association between dependent and independent variables. The model chosen for testing the patient compliance through external and internal factors gives an R2 value of 85.0% with an adjusted R2 of 84.7%. The F value (317.187) was also significant (p=0.000) which means that the variables have better fit in the multivariate model. The major reasons determined for non-adherence were attitudes and beliefs, lifestyle, side effects and cost of medications. The study recommends that pharmacists and dispensing technicians should be adequately qualified to provide proper counselling to cardiac patients on their medicines and disease conditions.
Conclusion
The result of this study is of value to health care providers. Compliance to cardiovascular medications will avoid treatment failures encountered in therapy.
Overview on Recurrence Pregnancy Loss etiology and risk factorspharmaindexing
Recurrent pregnancy loss (RPL) can be defined as more than two to three consecutive miscarriages before 20 weeks’ gestation; it affects approximately 1% to 2% of women. RPL is a multifactorial disease. It is very important to study the etiology and risk factors of RPL to find the best diagnostic tests and suitable therapeutic intervention. This article will discuss the current understanding etiologies and risk factors of RPL.
Novel treatments for asthma: Corticosteroids and other anti-inflammatory agents.pharmaindexing
Asthma management is a challenge due to the prevalence of disease in the world. Based on the immunological and inflammatory mechanisms of asthma, corticosteroids and anti-inflammatory participate greatly in the treatment plan. Due to different reasons, there is still an unmet need to develop new agents in this field. A lot of compounds with anti-inflammatory effect are investigated in both pre-clinical and clinical studies.
A review on liver disorders and screening models of hepatoprotective agentspharmaindexing
The liver is a vital organ present in vertebrates and some other animals. It has a wide range of functions, including detoxification, protein synthesis, and production of bio chemicals necessary for digestion. The liver is necessary for survival; there is currently no way to compensate for the absence of liver function long term, although liver dialysis can be used short term.
Carbamazepine induced Steven Johnson syndrome: A case reportpharmaindexing
Drugs are the most common cause that induces Steven Johnson syndrome (SJS) and includes antiepileptic drugs, antiretroviral drugs, anti-tuberculosis drugs, Sulphonamides, fluoroquinolones, penicillins, non-Steroidal anti-inflammatory drugs, Multivitamins. The genetic markers are also the cause for carbamazepine induced Steven Johnson Syndrome. In our study, the antiepileptic drug (Carbamazepine) is the cause for Steven Johnson Syndrome. A female patient aged 25 years came to the hospital with the complaints of bubbling over the skin and all over the body with papillary vesicles associated with pain and irritation, fever, myalgia, and nausea. The patient is known case of Phenytoin induced Steven Johnson Syndrome. In this case the patient developed the Steven Johnson Syndrome approximately after one month after starting the carbamazepine.By the withdrawal of the drug, the condition of the patient was improved.
Monoherbal formulation development for laxative activitypharmaindexing
The Ayurvedic Pharmacopoeia specifically approves flaxseed as a poultice for boils externally and demulcent or laxative internally. In this study monoherbal formulation development for laxative activity of flaxseed was undertaken. The plantLinumusitatissimumhasshowed higher percentage of total ash as well as alcohol soluble extractive values. The aqueous extract of Linumusitatissimumwas prepared by using pilot scale extraction plant and spray drying unit. The qualitative phytochemical studies reveal the presence of amino acids, carbohydrates, vitamins and proteins. From the available literatures it was found that Linumusitatissimum contains more number of amino acids. The formulated tablets showed acceptable pharmacopoeial limits and complies with specifications for thickness, hardness, friability and weight variation. The formulation has showed better laxative activity indicating additive property of the combined phytoconstituents of the plant.
Monoherbal formulation development for laxative activitypharmaindexing
The Ayurvedic Pharmacopoeia specifically approves flaxseed as a poultice for boils externally and demulcent or laxative internally. In this study monoherbal formulation development for laxative activity of flaxseed was undertaken. The plantLinumusitatissimumhasshowed higher percentage of total ash as well as alcohol soluble extractive values. The aqueous extract of Linumusitatissimumwas prepared by using pilot scale extraction plant and spray drying unit. The qualitative phytochemical studies reveal the presence of amino acids, carbohydrates, vitamins and proteins. From the available literatures it was found that Linumusitatissimum contains more number of amino acids. The formulated tablets showed acceptable pharmacopoeial limits and complies with specifications for thickness, hardness, friability and weight variation. The formulation has showed better laxative activity indicating additive property of the combined phytoconstituents of the plant.
Pneumonia and respiratory failure from swine origin influenza H1n1pharmaindexing
Swine influenza (swine flu) became alarming health concern when World Health Organization declared as “public health emergency of international concern” on April 25, 2009. After documentation of human-to-human transmission of the virus in at least three countries of two WHO regions, the WHO raised the pandemic level to 6.1 During the 1918, flu pandemic infected one-third of the world's population (an estimated 500 million people) and caused approximately 50 million deaths.2 In 1976, an outbreak of swine influenza occurred in New Jersey, USA, which involved more than 200 cases, some of them severe, resulting in one death.3 In 1988, another fatality was reported as a complication of swine influenza.
A descriptive study on newborn care among postnatal mothers in selected mater...pharmaindexing
The newborn health challenge faced by India is more formidable than that experienced by any other country in the world. The newborn health is inevitably affected by the traditional care practices of the mothers causing high infant morbidity and mortality.The aim of the study were determine the knowledge, attitude and practice of postnatal mothers regarding new born care and find out the association between knowledge, attitude and practice of postnatal mothers regarding new born care and to determine the association between these as well as with the selected demographic variables. A descriptive study was conducted to assess the knowledge, attitude and practice of postnatal mothers regarding new born care in selected maternity centres in Madurai. Survey approach was employed to select sample and it consisted of 100 postnatal mothers. Data was collected using structured interview schedule. Findings of the study showed that 65% of postnatal mothers had moderate knowledge; 61% had favourable attitude and 57% of them had high practice of new born care. There was a significant association between knowledge and attitude (r=+0.567), knowledge and practice (r=+0.388), attitude and practice (r=+0.321) .There was a significant association between knowledge and education, monthly family income and obstetrical score at p<0.05. Findings of the study indicated the need to conduct frequent assessment of knowledge, attitude and practice of postnatal mothers regarding new born care. Awareness and attitude of the mothers towards new born care still has lots of lacunae especially in those who belong to the lower socio economic statusand poorly educated postnatal mothers. So it is imperative to provide comprehensive training in the field of new born care for mothers during pregnancy
Late 19th century was evident of intelligent biomaterial; which has changed researcher’s perspective towards science and technology. This intelligent biomaterial are envisioned to have huge impact on Healthcare from sequential signalling of biomedical molecule, mimicking natural gene, an effective drug carrier, to high resolution diagnostic tool.From drug discovery aspect many of NCE fail to reach therapeutic potential due to PK/ PD profile. Nanotechnology has changed the face of drug discovery form chemical evaluation to structure of proteins in signalling pathways and development of chemical antibody. Nanotechnology from lab to market approval is long process due to regulatory evaluation. Though it seems to be bright future market it has to go through a long process from being innovation to complete market product. This makes whole process expensive making investor reluctant to invest in big projects.Western world is aware of dramatic potential of nano-projects; which has its limitation in financial investments; with major challenge of transforming nano science to commercial pharmaceutical product.
The Flaws in health practice in post-operative management of a patient in ter...pharmaindexing
This case study summarizes the treatment of a 4-year old child with congenital urinary tract obstruction who presented with constipation, fever, and cough. Laboratory tests found low electrolyte levels, high blood acids, and kidney damage. The child's treatment included surgery, dialysis to correct electrolyte imbalances, and antibiotics for chest infection. However, the case study notes discrepancies in the post-operative treatment, including questionable antibiotic selection and prescribing of calcium channel blockers not recommended for children. The study concludes there is a need for clinical pharmacists on the healthcare team to improve rational medication use.
Corticosteroid induced disorders – An overviewpharmaindexing
Glucocorticoids are important in the treatment of many inflammatory, allergic, immunologic, and malignant disorders, and the toxicity of glucocorticoids is one of the commonest causes of iatrogenic illness associated with chronic inflammatory disease.Glucocorticoid-induced muscle atrophy is characterized by fast-twitch or type II muscle fiber atrophy. Corticosteroid (CS) therapy is widely used in the treatment of rheumatic diseases.Osteoporosis remains one of its major complications.Steroid induced glaucoma is a form of open angle glaucoma occurring as an adverse effect of corticosteroid therapy. Glucocorticoids induce hepatic and extrahepatic insulin resistance.Glucocorticoid treatment impairs both glucose transport in fat and muscle cells. Corticosteroid-induced psychosis represents a spectrum of psychological changes that can occur at any time during treatment. Cushing’s syndrome describes the signs and symptoms associated with prolonged exposure to inappropriately high levels of the hormone cortisol. Physicians must be aware of these adverse effects and be equipped to manage them.
Anti-inflammatory activity of pupalia lappacea L. Jusspharmaindexing
Pupalia lappacea (L) Juss is an erect shrub used in folklore medicine to treat bone fractures and in inflammatory conditions. Methanolic extract of aerial parts shown is claimed in traditional medicine that the leaves of the plant are used in the treatment of inflammation. In the present study, the methanolic extract of Pupalia lappacea was screened for its anti-inflammatory activity using carageenan induced rat paw edema egg white induced paw oedema models. The methanolic extract at the dose of 200 mg/kg p.o exhibited significant anti-inflammatory activity in carrageenan induced paw edema model (p<0.01). In egg white induced model, methanolic extract at the dose of 200 mg/kg inhibited paw oedema significantly (p<0.01) indicating that both test samples inhibit the increase in number of fibroblasts and synthesis of collagen and mucopolysaccharides during prostaglandin formation during the inflammation. These experimental results have established a pharmacological evidence for the folklore claim of the drug to be used as an anti inflammatory agent. HPTLC analysis of the extract shows the presence of gallic acid 1.24mg/ml, ferulic acid 2.00mg/ml, chlorogenic acid 46.25mg/ml and rutin 7.02mg/ml of the extract which were responsible for the claimed anti-inflammatory action in the animal models studied.
Lucinactant: A new solution in treating neonatal respiratory distress syndrom...pharmaindexing
This document summarizes research on Lucinactant, a novel synthetic surfactant approved by the FDA in 2012 for treatment of neonatal respiratory distress syndrome (RDS). It contains a peptide called sinapultide that mimics the function of human surfactant protein B. Studies found Lucinactant was as effective as or more effective than previous animal-derived surfactants in reducing mortality from RDS, but its pharmacokinetics are not fully understood. The document reviews clinical trials and mechanisms of Lucinactant and discusses its efficacy, safety profile, and potential cost benefits compared to other surfactants.
Bioactivity screening of Soil bacteria against human pathogenspharmaindexing
This study aimed to isolate soil bacteria with potential bioactive properties against human pathogens. 36 bacterial strains were isolated from 3 soil samples and screened against common pathogens. 14 isolates showed antibacterial activity, including against Staphylococcus aureus, Streptococcus faecalis, E. coli, Klebsiella aerogenes, Proteus vulgaris, Pseudomonas aureginosa and Salmonella typhi. The 3 most active bacterial isolates were selected for further production and isolation of their bioactive metabolites. Testing found the metabolites had prominent antibacterial effects against the clinical pathogens studied, indicating their potential as a source of new antimicrobials given the rise in drug resistance.
A study on sigmoid Volvulus presentation and managementpharmaindexing
A study on sigmoid volvulus presentation and management was a 2yr retrospective study done at RMMCH.The diagnosis of sigmoid volvulus was made from a history of large bowel obstruction (constipation, abdominal distension, and abdominal pain), which were often recurrent and plain abdominal radiographs.The morbidity associated isSuperficial wound infection occurred in four patients. All the infected wounds eventually healed with conservative measures. Clinical anastomotic dehiscence was noted in 1 patient for which during relaparotomy proximal colostomy and mucous fistula was done. The mortality associated is shown is there were 9 deaths of which 7 were due to sepsis and 2 were due to comorbid illness. Two out of eight patients for whom a colopexy was done had a recurrent attack of sigmoid volvulus. The duration of hospital stay ranged between 10 and 21 days. Use of sigmoidoscopic detorsion for viable colon should be encouraged. Sigmoidopexy, which is associated with a recurrence rate of 20% in our series of patients, should be used selectively.Hartmann’s procedure is a safe option in sigmoid volvulus with gangrenous bowel. Primary anastomosis in emergency situation can be carried out with morbidity and mortality in patients with viable colon
Evaluation of Preliminary phytochemical on various some medicinal plantspharmaindexing
The present study was carried out to evaluate the physical status and percentage yield of methanolic extract and its fractions of whole plant of Leucas cephalotes, leaves of Hiptage benghalensis and leaves of Kydia calycina were recorded for future references and Preliminary phytochemical screening of MLC, MHB and MKC revealed the presence of carbohydrates, glycosides, saponins, flavonoids, steroidal and phenolic compounds. MLC revealed the presence of all the above mentioned phytoconstituents except saponins and also MKC steroidal compounds. The fractions of MLC, MHB and MKC revealed the presence of glycosides, phenolic compounds, steroids and flavonoids.
Comparision of in vitro antibacterial activity of cefoperazone and levofloxac...pharmaindexing
This study compared the in vitro antibacterial activity of cefoperazone and levofloxacin against various clinical isolates. 120 bacterial isolates from patient samples were tested for susceptibility to cefoperazone and levofloxacin using disc diffusion. Results showed levofloxacin had lower resistance than cefoperazone for E. coli and P. aeruginosa, while cefoperazone was more effective against S. aureus. However, resistance to both antibiotics was gradually increasing, highlighting the need for regular surveillance of antibiotic susceptibility.
Concept of srotas from ayurvedic perspective with special reference to neurologypharmaindexing
Ayurveda is a life science. The researchers of ayurveda could rule out the presence of srotas (channels) spreading throughout the human body. These srotas (channels) are governed by vayu which is using all the srotas (channels) of the body to carry out the functional and physiological activities of the human body without which the human society will not exist. Several synonymous words have been described by the ayurvedicacharyas for srotas. Some are micro and some are macro in structures and they adopt the same colour of the particular dhatus of the body to which it belongs. The aim of the study is to justify that srotas are nothing but innurmerable channels or pathways of the nervous system governed by electric current without which no functional and physiological activities of the human body will develope.
Health promotion survey in overweight and obese students of universities in n...pharmaindexing
Introduction
Overweight and obesity is one of the major health problems in the UK and worldwide. Approximately two-thirds of the population in the UK is either overweight or obese. Overweight and obesity is an important issue that causes distress to most women. Health promotion is the best method to educate overweight and obese women. It is defined as the process enabling people to increase control over and to improve their health by Ottawa Charter for Health Promotion. It is aimed to enhance the well-being of the individuals and their positive attitudes towards prevention of various diseases. In order to make any improvement to the health promotion for overweight and obesity, the risk factors and the opinions from the public should first be identified and addressed.
Methods
Cross-sectional survey design was selected with a questionnaire that consisted of 20 open and close ended questions. A sample size of 196 was determined. The data thus gathered was analyzed using SPSS V20 (Statistical Package for Social Science version 20). Descriptive statistics (fx) and (SD) were used and Chi-square X2 test for association was employed.
Results
Out of the total 196 responses, only (40%) of the students had normal weight (SD 1.1), (25%) students had a good understanding of health promotion (SD 1.6), half (50%) appeared concerned about their weight (SD 0.5), (60%) had an obese family member (0.5). The BMI of students was associated with the presence of an obese member in their family and their weight as a concern for them. (P-value <0.05).
Conclusion
The health promotion service is beneficial as it was found to have raised concerns in the mind of the students regarding over weight and obesity. However it was observed that the understanding of health promotion service was different among students and this is the root of the problem.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
AI in customer support Use cases solutions development and implementation.pdfmahaffeycheryld
AI in customer support will integrate with emerging technologies such as augmented reality (AR) and virtual reality (VR) to enhance service delivery. AR-enabled smart glasses or VR environments will provide immersive support experiences, allowing customers to visualize solutions, receive step-by-step guidance, and interact with virtual support agents in real-time. These technologies will bridge the gap between physical and digital experiences, offering innovative ways to resolve issues, demonstrate products, and deliver personalized training and support.
https://www.leewayhertz.com/ai-in-customer-support/#How-does-AI-work-in-customer-support
Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
TWO WAY CHAINED PACKETS MARKING TECHNIQUE FOR SECURE COMMUNICATION IN WIRELESS SENSOR NETWORKS
1. Author for Correspondence:
*1
Dr.V.Venkatesa Kumar PhD, Assistant Professor, Computer Science and Engineering, Anna University, Regional Centre, Tamil
Nadu, India, E-mail:mail2venkatesa@gmail.com
*2
Ms.R.Saranya M.E., PG scholar, Computer Science and Engineering, Anna University, Regional Centre, Tamil Nadu, India,
E-mail:saranyarajendran28@gmail.com
MAR-2014
International Journal of Intellectual Advancements
and Research in Engineering Computations
AN EFFICIENT SEMANTIC DATA ALIGNMENT BASED FCM TO INFER
USER SEARCH GOALS USING FEEDBACK SESSIONS
*1
Dr.V.Venkatesa Kumar PhD, *2
Ms.R.Saranya
ABSTRACT
Web search applications represent user information needs by submission of query to search
engine. But still the entire query submitted to search engine doesn’t satisfy the user information needs, as users may
want to obtain information on diverse aspects when they submit the same query. From this discovering the numeral
of dissimilar user search goals for query and depicting each goal with several keywords automatically become
complex. The inference of user search goals can be very valuable in improving search engine importance and user
knowledge. To efficiently reflect user information needs to generate a pseudo-document to map the different user
feedback sessions. Clustering pseudo-documents by K-means clustering is computationally difficult and semantic
similarity between the pseudo terms is also important while clustering. To conquer this problem proposed a FCM
clustering algorithm to group the pseudo documents and it also measures the semantic data alignment between the
pseudo terms in the documents. The FCM algorithm divides pseudo document data in dissimilar size cluster by
using fuzzy systems. FCM choosing cluster size and central point depend on fuzzy model. The FCM clustering
algorithm assembles quickly to a local optimum or grouping of the pseudo documents in well-organized way.
Semantic data alignment between the pseudo terms is used for comparing the similarity and diversity of pseudo
terms. Finally, experimental results measures the clustering results with parameters like classified average precision
(CAP), Voted AP (VAP), risk to avoid classifying search results and average precision (AP). It shows FCM based
system improves the feedback session's outcome than the normal pseudo documents.
Index terms: User search goals, Feedback sessions, pseudo-documents, classified average precision (CAP),
Voted AP (VAP), average precision (AP), Fuzzy C means clustering, K-means clustering.
I INTRODUCTION
In web search based application's
user enters the query on the website to search the
efficient information. The needs of the information
may differ from each user and goal to achieve the user
need are still becoming difficult. Because the user
given query may not understand by the system or it
becomes less, sometimes queries may not exactly
represented by users. To attain the user specific
information needs numerous uncertain queries may
cover a broad topic and different users may desire to
get information on different points of view when they
submit the same query. The user information need is
to wish and obtain the information to satisfy the needs
of each user. To satisfy the user information needs by
considering the search goals with the user given query.
We cluster the user information needs with a different
search goal. So it is necessary to collect the different
user goal and retrieve the efficient information on
different aspects of a query. Capture different user
search goals in information retrieval outcome become
changes than the normal query based information
retrieval.
ISSN:2348-2079