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.
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regardless of who submitted the query. Generally, each user has different information needs for his/her query. Therefore, the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information without any user effort. Such search systems that adapt to each user’s preferences can be achieved by constructing user profiles based on modified collaborative filtering with detailed analysis of user’s browsing history. There are three possible types of web search system which can provide personalized information: (1) systems using relevance feedback, (2) systems in which users register their interest, and (3) systems that recommend information based on user’s history. In first technique, users have to provide feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique is best in which users don’t have to give explicit rating; relevancy automatically tracked by user behavior with search results and history of data usage. It doesn’t require registration of interests; it captures changing interests of user dynamically by itself. The result section shows that user’s browsing history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results.
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
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.
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
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regardless of who submitted the query. Generally, each user has different information needs for his/her query. Therefore, the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information without any user effort. Such search systems that adapt to each user’s preferences can be achieved by constructing user profiles based on modified collaborative filtering with detailed analysis of user’s browsing history. There are three possible types of web search system which can provide personalized information: (1) systems using relevance feedback, (2) systems in which users register their interest, and (3) systems that recommend information based on user’s history. In first technique, users have to provide feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique is best in which users don’t have to give explicit rating; relevancy automatically tracked by user behavior with search results and history of data usage. It doesn’t require registration of interests; it captures changing interests of user dynamically by itself. The result section shows that user’s browsing history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results.
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
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.
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
The Internet, which brought the most innovative
improvement on information society, web recommendation
systems based on web usage mining try to mine user’s behavior
patters from web access logs, and recommend pages or
suggestions to the user by matching the user’s browsing behavior
with the mined historical behavior patterns. In this paper we
propose a recommendation framework that considers different
application status and various contexts of each user. We
successfully implemented the proposed framework and show how
this system can improve the overall quality of web
recommendations.
I
CONTENT AND USER CLICK BASED PAGE RANKING FOR IMPROVED WEB INFORMATION RETRIEVALijcsa
Search engines today are retrieving more than a few thousand web pages for a single query, most of which
are irrelevant. Listing results according to user needs is, therefore, a very real necessity. The challenge lies
in ordering retrieved pages and presenting them to users in line with their interests. Search engines,
therefore, utilize page rank algorithms to analyze and re-rank search results according to the relevance of
the user’s query by estimating (over the web) the importance of a web page. The proposed work
investigates web page ranking methods and recently-developed improvements in web page ranking.
Further, a new content-based web page rank technique is also proposed for implementation. The proposed
technique finds out how important a particular web page is by evaluating the data a user has clicked on, as
well as the contents available on these web pages. The results demonstrate the effectiveness of the proposed
page ranking technique and its efficiency.
Classifying web users in a personalised search setup is cumbersome due the very nature of dynamism in
user browsing history. This fluctuating nature of user behaviour and user interest shall be well interpreted
within a fuzzy setting. Prior to analysing user behaviour, nature of user interests has to be collected. This
work proposes a fuzzy based user classification model to suit a personalised web search environment. The
user browsing data is collected using an established customised browser designed to suit personalisation.
The data are fuzzified and fuzzy rules are generated by applying decision trees. Using fuzzy rules, the
search pages are labelled to aid grouping of user search interests. Evaluation of the proposed approach
proves to be better when compared with Bayesian classifier.
An Enhanced Approach for Detecting User's Behavior Applying Country-Wise Loca...IJSRD
The development of the web in past few years has created a lot of challenge in this field. The new work in this field is the search of the data in a search tree pattern based on tree. Various sequential mining algorithms have been devoloped till date. Web usage mining is used to operate the web server logs, that contains the navigation history of the user. Recommendater system is explained properly with the explanation of whole procedure of the recommendater system. The search results of the data leads to the proper ad efficient search. But the problem was the time utilization and the search results generated from them. So, a new local search algorithm is proposed for country-wise search that makes the searching more efficient on local results basis. This approach has lead to an advancement in the search based methods and the results generated.
This work describes a new system User Profile Relevant Results -
UProRevs which would filter the results given by a search engine based on the user’s profile.
“UProRevs - User Profile Relevant Results” has been published by the IEEE - Computer Society as the proceedings for the 10th International Conference on Information 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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...inventionjournals
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Recommendation System (RS) is the tool and largely used nowadays in many areas to generate interest items to users. With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages or items to the user based on the previous browsing history. But the tremendous growth in the amount of the available information and the number of visitors to web sites in recent years places some key challenges for recommender system. The recent recommender systems stuck with producing high quality recommendation with large information, resulting unwanted item instead of targeted item or product, and performing many recommendations per second for millions of user and items. To avoid these challenges a new recommender system technologies are needed that can quickly produce high quality recommendation, even for a very large scale problems. To address these issues we use two recommender system process using fuzzy clustering and collaborative filtering algorithms. Fuzzy clustering is used to predict the items or product that will be accessed in the future based on the previous action of user browsers behavior. Collaborative filtering recommendation process is used to produce the user expects result from the result of fuzzy clustering and collection of Web Database data items. Using this new recommendation system, it results the user expected product or item with minimum time. This system reduces the result of unrelated and unwanted item to user and provides the results with user interested domain.
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
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.
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.
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
Devlopement of the dynamic resistance measurement (drm) method for condition ...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
The Internet, which brought the most innovative
improvement on information society, web recommendation
systems based on web usage mining try to mine user’s behavior
patters from web access logs, and recommend pages or
suggestions to the user by matching the user’s browsing behavior
with the mined historical behavior patterns. In this paper we
propose a recommendation framework that considers different
application status and various contexts of each user. We
successfully implemented the proposed framework and show how
this system can improve the overall quality of web
recommendations.
I
CONTENT AND USER CLICK BASED PAGE RANKING FOR IMPROVED WEB INFORMATION RETRIEVALijcsa
Search engines today are retrieving more than a few thousand web pages for a single query, most of which
are irrelevant. Listing results according to user needs is, therefore, a very real necessity. The challenge lies
in ordering retrieved pages and presenting them to users in line with their interests. Search engines,
therefore, utilize page rank algorithms to analyze and re-rank search results according to the relevance of
the user’s query by estimating (over the web) the importance of a web page. The proposed work
investigates web page ranking methods and recently-developed improvements in web page ranking.
Further, a new content-based web page rank technique is also proposed for implementation. The proposed
technique finds out how important a particular web page is by evaluating the data a user has clicked on, as
well as the contents available on these web pages. The results demonstrate the effectiveness of the proposed
page ranking technique and its efficiency.
Classifying web users in a personalised search setup is cumbersome due the very nature of dynamism in
user browsing history. This fluctuating nature of user behaviour and user interest shall be well interpreted
within a fuzzy setting. Prior to analysing user behaviour, nature of user interests has to be collected. This
work proposes a fuzzy based user classification model to suit a personalised web search environment. The
user browsing data is collected using an established customised browser designed to suit personalisation.
The data are fuzzified and fuzzy rules are generated by applying decision trees. Using fuzzy rules, the
search pages are labelled to aid grouping of user search interests. Evaluation of the proposed approach
proves to be better when compared with Bayesian classifier.
An Enhanced Approach for Detecting User's Behavior Applying Country-Wise Loca...IJSRD
The development of the web in past few years has created a lot of challenge in this field. The new work in this field is the search of the data in a search tree pattern based on tree. Various sequential mining algorithms have been devoloped till date. Web usage mining is used to operate the web server logs, that contains the navigation history of the user. Recommendater system is explained properly with the explanation of whole procedure of the recommendater system. The search results of the data leads to the proper ad efficient search. But the problem was the time utilization and the search results generated from them. So, a new local search algorithm is proposed for country-wise search that makes the searching more efficient on local results basis. This approach has lead to an advancement in the search based methods and the results generated.
This work describes a new system User Profile Relevant Results -
UProRevs which would filter the results given by a search engine based on the user’s profile.
“UProRevs - User Profile Relevant Results” has been published by the IEEE - Computer Society as the proceedings for the 10th International Conference on Information 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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...inventionjournals
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Recommendation System (RS) is the tool and largely used nowadays in many areas to generate interest items to users. With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages or items to the user based on the previous browsing history. But the tremendous growth in the amount of the available information and the number of visitors to web sites in recent years places some key challenges for recommender system. The recent recommender systems stuck with producing high quality recommendation with large information, resulting unwanted item instead of targeted item or product, and performing many recommendations per second for millions of user and items. To avoid these challenges a new recommender system technologies are needed that can quickly produce high quality recommendation, even for a very large scale problems. To address these issues we use two recommender system process using fuzzy clustering and collaborative filtering algorithms. Fuzzy clustering is used to predict the items or product that will be accessed in the future based on the previous action of user browsers behavior. Collaborative filtering recommendation process is used to produce the user expects result from the result of fuzzy clustering and collection of Web Database data items. Using this new recommendation system, it results the user expected product or item with minimum time. This system reduces the result of unrelated and unwanted item to user and provides the results with user interested domain.
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
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.
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.
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
Devlopement of the dynamic resistance measurement (drm) method for condition ...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
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
Design of a modified leaf spring with an integrated damping system for added ...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
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
Secure and efficient handover authentication and detection of spoofing attackeSAT 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
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.
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
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
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.
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.
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.
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.
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
Fuzzy based control using lab view for miso temperature processeSAT 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.
Web search engines help users find useful information on the WWW. However, when the same
query is submitted by different users, typical search engines return the same result regardless of who
submitted the query. Generally, each user has different information needs for his/her query. Therefore,
the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information
without any user effort. Such search systems that adapt to each user’s preferences can be achieved by
constructing user profiles based on modified collaborative filtering with detailed analysis of user’s
browsing history.
There are three possible types of web search system which can provide personalized
information: (1) systems using relevance feedback, (2) systems in which users register their interest, and
(3) systems that recommend information based on user’s history. In first technique, users have to provide
feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique
is best in which users don’t have to give explicit rating; relevancy automatically tracked by user
behavior with search results and history of data usage. It doesn’t require registration of interests; it
captures changing interests of user dynamically by itself. The result section shows that user’s browsing
history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results
`A Survey on approaches of Web Mining in Varied Areasinventionjournals
There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate, ranking will be done automatically, clustering the feedback sessions. Web search engines have made enormous contributions to the web and society. They make finding information on the web quick and easy. However, they are far from optimal. A major deficiency of generic search engines is that they follow the ‘‘one size fits all’’ model and are not adaptable to individual users.
A survey on ontology based web personalizationeSAT Journals
Abstract Over the last decade the data on World Wide Web has been growing in an exponential manner. According to Google the data is accelerating with a speed of billion pages per day [24]. Internet has around 2 million users accessing the World Wide Web for various information [25].These numbers certainly raise a severe concern over information over load challenges for the users. Many researchers have been working to overcome the challenge with web personalization, many researchers are looking at ontology based web personalization as an answer to the information overload, as each individual is unique. In this paper we present an overview of ontology based web personalization, Challenges and a survey of the work. This paper also points future work in web personalization. Index Terms: Web Personalization, Ontology, User modeling, web usage mining.
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.
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.
Framework for web personalization using web miningeSAT Journals
Abstract WWW is a large amount of information provider and a very big source of information. Users are increasing every day for accessing web sites. For efficient and effective handling, web mining coupled with suggestion techniques provides personalized contents at the disposal of users. Web Mining is an area of Data Mining dealing with the extraction of interesting knowledge from the Web. Here we are presenting a comprehensive overview of the personalization process based on Web usage mining. In this a host of Web usage mining activities required for this process, including the pre-processing and integration of data from multiple sources, and common pattern discovery techniques that are applied to the integrated usage data. Index Terms: Web-Usage Mining, Data Mining, Personalization, Pattern Discovery, Web Mining, Web Personalization
International conference On Computer Science And technologyanchalsinghdm
ICGCET 2019 | 5th International Conference on Green Computing and Engineering Technologies. The conference will be held on 7th September - 9th September 2019 in Morocco. International Conference On Engineering Technology
The conference aims to promote the work of researchers, scientists, engineers and students from across the world on advancement in electronic and computer systems.
IRJET-A Survey on Web Personalization of Web Usage MiningIRJET Journal
S.Jagan, Dr.S.P.Rajagopalan "A Survey on Web Personalization of Web Usage Mining", International Research Journal of Engineering and Technology (IRJET),Volume 2,issue-01 Mar-2015. e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net , published by Fast Track Publications
Abstract
Now a day, World Wide Web (www) is a rich and most powerful source of information. Day by day it is becoming more complex and expanding in size to get maximum information details online. However, it is becoming more complex and critical task to retrieve exact information expected by its users. To deal with this problem one more powerful concept is personalization which is becoming more powerful now days. Personalization is a subclass of information filtering system that seek to predict the 'ratings' or 'preferences' that a user would give to an items, they had not yet considered, using a model built from the characteristics of an item (content-based approaches or collaborative filtering approaches). Web mining is an emerging field of data mining used to provide personalization on the web. It consist three major categories i.e. Web Content Mining, Web Usage Mining, and Web Structure Mining. This paper focuses on web usage mining and algorithms used for providing personalization on the web.
Personalized E-commerce based recommendation systems using deep-learning tech...IAESIJAI
As technology is surpassing each day, with the variation of personalized drifts
relevant to the explicit behavior of users using the internet. Recommendation
systems use predictive mechanisms like predicting a rating that a customer
could give on a specific item. This establishes a ranked list of items according
to the preferences each user makes concerning exhibiting personalized
recommendations. The existing recommendation techniques are efficient in
systematically creating recommendation techniques. This approach
encounters many challenges such as determining the accuracy, scalability, and
data sparsity. Recently deep learning attains significant research to enhance
the performance to improvise feature specification in learning the efficiency
of retrieving the necessary information as well as a recommendation system
approach. Here, we provide a thorough review of the deep-learning
mechanism focused on the learning-rates-based prediction approach modeled
to articulate the widespread summary for the state-of-art techniques. The
novel techniques ensure the incorporation of innovative perspectives to
pertain to the unique and exciting growth in this field.
Classification-based Retrieval Methods to Enhance Information Discovery on th...IJMIT JOURNAL
The widespread adoption of the World-Wide Web (the Web) has created challenges both for society as a whole and for the technology used to build and maintain the Web. The ongoing struggle of information retrieval systems is to wade through this vast pile of data and satisfy users by presenting them with information that most adequately it’s their needs. On a societal level, the Web is expanding faster than we can comprehend its implications or develop rules for its use. The ubiquitous use of the Web has raised important social concerns in the areas of privacy, censorship, and access to information. On a technical level, the novelty of the Web and the pace of its growth have created challenges not only in the development of new applications that realize the power of the Web, but also in the technology needed to scale applications to accommodate the resulting large data sets and heavy loads. This thesis presents searching algorithms and hierarchical classification techniques for increasing a search service's understanding of web queries. Existing search services rely solely on a query's occurrence in the document collection to locate relevant documents. They typically do not perform any task or topic-based analysis of queries using other available resources, and do not leverage changes in user query patterns over time. Provided within are a set of techniques and metrics for performing temporal analysis on query logs. Our log analyses are shown to be reasonable and informative, and can be used to detect changing trends and patterns in the query stream, thus providing valuable data to a search service.
An Improvised Fuzzy Preference Tree Of CRS For E-Services Using Incremental A...IJTET Journal
Abstract—Web mining is the amalgamation of information accumulated by traditional data mining methodologies and techniques with information collected over the World Wide Web. A Recommendation system is a profound application that comforts the user in a decision-making process, where they lack of personal experience to choose an item from the confound set of alternative products or services. The key challenge in the development of recommender system is to overcome the problems like single level recommendation and static recommendation, which are exists in the real world e-services. The goal is to achieve and enhance predicting algorithm to discover the frequent items, which are feasible to be purchasable. At this point, we examine the prior buying patterns of the customers and use the knowledge thus procured, to achieve an item set, which co-ordinates with the purchasing mentality of a particular set of customers. Potential recommendation is concerned as a link structure among the items within E-commerce website, which supports the new customers to find related products in a hurry. In Existing system, a fuzzy set consists of user preference and item features alone, so the recommendations to the customers are irrelevant and anonymous. In this paper, we suggest a recommendation technique, which practices the wild spreading and data sharing competency of a huge customer linkage and also this method follows a fuzzy tree- structured model, in which fuzzy set techniques are utilized to express user preferences and purchased items are in a clustered form to develop a user convenient recommendations. Here, an incremental association rule mining is employed to find interesting relation between variables in a large database.
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Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
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IJRET : International Journal of Research in Engineering and TechnologyImproving web search results in web personalization
1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 06 | Jun-2014, Available @ http://www.ijret.org 444
IMPROVING WEB SEARCH RESULTS IN WEB PERSONALIZATION
Karthika.S1
, Ambika.K2
1
PG Student, University College of Engineering (BIT Campus), Tiruchirappalli
2
Assistant Professor, University College of Engineering (BIT Campus), Tiruchirappalli
Abstract
Web mining is the application of data mining which is useful to extract the knowledge. There are three divisions: they are web
usage mining, web structure mining, and web content mining. Web personalization is one of the areas of web usage mining which
deals with optimizing information by monitoring user interaction history of usage, user profiles. In traditional systems they
acquire user feedbacks and ratings explicitly. Personalization concepts involved in order to provide the proper content for the
web user who queried to obtain the search results. But the users interest and attractiveness may change frequently. Here in this
new system ratings can be done by counting and ranking accordingly to user activity, user profile, dwell time, user clicks and
their preference with user interest without the users knowledge. This will give the effective search results while browsing.
Keywords: Personalization, usage mining, content mining.
---------------------------------------------------------------------***---------------------------------------------------------------------
1. INTRODUCTION
Nowadays web users have been increased tremendously.
Web users usually have very short life span in web portals
while browsing and there is a big issue on getting the exact
information what the web users actually wants. Here the
website developers and publishers take the responsibilities
of providing the efficient search results. Thus they are
stepping towards to optimize the web content. Inorder to
provide the optimized search results to the users, who are in
need of the proper results. In content optimization,
personalization is an important feature of focusing the
individual user interest rather than the common approach
like “one size fits all”.
Personalized concepts involved in collecting, monitoring
and storing present and past status of user interaction. This
helps the client to get the right content at each iteration of
searches. During each time of searching there will be
improvisation of search results by updating user interactions
as specified in personalization concepts.
There are two remarkable approaches such as content-based
filtering and collaboration based filtering. In content based
approach a user profile is generated for storing the basic
user details ,their search actions and also items ratings that
done by the user.
The collaborative filtering method is like recommending the
user about a site where the site popularity can be accessed
by some other user preferences. They usually recognize
under the ratings and user commonalities.
The main aim of this system is to reduce manual
interruptions in ratings and recommendations of websites.
This system provides the concept of ranking by combining
user interests obtained by CTR (Click Through Rates), user
profiles (history based), recommended model, preference,
dwell time calculation. This system is the combination of all
preceding systems.
Mining Types
Web usage mining
Web content mining
Web structure mining
1.1Web Usage Mining
Web usage mining is the third category in web mining. This
type of web mining allows for the collection of Web access
information for Web pages. This usage data provides the
paths leading to accessed Web pages. This information is
often gathered automatically into access logs via the Web
server. CGI scripts offer other useful information such as
referrer logs, user subscription information and survey logs.
This category is important to the overall use of data mining
for companies and their internet/ intranet based applications
and information access.
1.2 Web Content Mining
Web content mining, also known as text mining, is generally
the second step in Web data mining. Content mining is the
scanning and mining of text, pictures and graphs of a Web
page to determine the relevance of the content to the search
query.
This scanning is completed after the clustering of web pages
through structure mining and provides the results based
upon the level of relevance to the suggested query. With the
massive amount of information that is available on the
World Wide Web, content mining provides the results lists
to search engines in order of highest relevance to the
keywords in the query.
2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 06 | Jun-2014, Available @ http://www.ijret.org 445
1.3 Web Structure Mining
Web structure mining is the process of using graph theory to
analyze the node and connection structure of a web site.
According to the type of web structural data, web structure
mining can be divided a into two kinds: Extracting patterns
from hyperlinks in the web: a hyperlink is a structural
component that connects the web page to a different
location. Mining the document structure: analysis of the
tree-like structure of page structures to describe HTML or
XML tag usage
2. ADVANTAGES
Usage mining allows companies to produce productive
information pertaining to the future of their business
function ability. Some of this information can be derived
from the collective information of lifetime user value,
product cross marketing strategies and promotional
campaign effectiveness. The usage data that is gathered
provides the companies with the ability to produce results
more effective to their businesses and increasing of sales.
Usage data can also be useful for developing marketing
skills that will out-sell the competitors and promote the
company’s services or product on a higher level.
Usage mining is valuable not only to businesses using online
marketing, but also to e-businesses whose business is based
solely on the traffic provided through search engines. The
use of this type of web mining helps to gather the important
information from customers visiting the site. This enables an
in-depth log to complete analysis of a company’s
productivity flow. E-businesses depend on this information
to direct the company to the most effective Web server for
promotion of their product or service.
This web mining also enables Web based businesses to
provide the best access routes to services or other
advertisements. When a company advertises for services
provided by other companies, the usage mining data allows
for the most effective access paths to these portals. In
addition, there are typically three main uses for mining in
this fashion.
3. RELATED WORK
J.A. Konstan, B.N. Miller, D. Maltz, suggested that the
system depicts some advantages as follows [1],[2].
Traditional personalization has two approaches they are
content based filtering and Collaborative filtering. In the
first method, user profile is generated based on content
descriptions of content items which was rated explicitly by
the users.
In collaborative filtering, second method is the most used
method of analyse user rating and commonalities and
recommendations items, which are same similar tastes
among the users.
The main drawback is limited capability to recommend
contents than rated by users. Collaborative filtering may not
be appropriate since it suffers from the suffer from the start
problem.
This base paper they have overcome that existing
disadvantage by counting the user clicks and views rather
than ratings that has been done explicitly. Second, accurate
understanding of user action become one of essential factor
achieve good recommendations performance.
3.1 Counting Feedbacks to Set Popularity
D.kelly depicts the advantage over using the personalization
is such that implicit feedback technique is like making user
to put more effort in order to obtain feedback
explicitly.[3][4] And by utilizing this feedback count, the
content will be optimized.
This has been overcome by using implicit feedback gather
indirect from the user by monitoring behaviours of user
during searching. Here the relevance feedback without much
effort of user.
The main advantage is counting reading time, scrolling that
is interaction with the document. If they read for more time
that article is rated as interesting as opposed not (printing,
saving, and bookmarking) is considered to be an interaction
that automatically rates the articles.
The amount of time spent with relevant document and spent
with irrelevant document are all similar sometimes. Hence,
there is a chance of mistakes happen. In 561 documents with
6 subjects a small number less than 1% were displayed
multiple times. 240(43%) are identified as relevant and
321(57%) were as irrelevant.
The major drawback is considering relevant document as
irrelevant and vicversa. By simply judging the length of
time spent by user with the document. It is because the user
is unable to understand a document; they may spend a lot of
time with the document. By considering such constraints
they said to be a drawback.
This base paper they have been considering dwell time
interpretation also made significant attention. Here the dwell
time means stay time, the amount of time spent in the
document by focussing user logs. And also based on click
behaviours.
[5]D. Agarwal, founded some advantages that This approach
is based on tracking per article performance in near time,
through online models. Search engines are automated
ranking algorithm. Usually most familiar links are
highlighted [6].
There are few disadvantages, they are the articles sometimes
may have short lifetime and also frequently changing
behaviour. And also thousands and millions of user may
visit the web portal within milliseconds. It is hard to capture
the state and user profiles within short lifespan.
3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 06 | Jun-2014, Available @ http://www.ijret.org 446
W. Chu and S.T. Park depicts about depicts user action can
be predicted automatically whenever user changes their
view or interest on websites/web pages as an advantage
[7][8]. It also helpful for improving view on websites. User
can get sophisticated views over the web pages. The web
content over the web pages can be easily and frequently
modifiable and it alters its structure accordingly to the user
view.
Unconditionally predicts on user interest without
considering are dealing the real truth with the user. Since
user views are subjected to change dynamically, prediction
mostly ends in failure.
The use of machine learning approach that is to synchronise
and analyse user views and add dynamically to the user
context profile. The problem can be overcome by creating
segmentation.
4. PROPOSED SYSTEM
In this proposed system, it has been trying to reduce the
manual work, by the way of updating automatically. The
user interest over the websites can be captured without the
user’s feedback and enforcement of user to give ratings
about the websites.
The main aim of this system is to reduce manual
interruptions in ratings and recommendations of websites.
This system provides the concept of ranking by combining
user interests obtained by CTR (Click Through Rates), user
profiles (history based), recommended model, preference,
dwell time calculation. This system is the combination of all
preceding systems.Hence implicit feedback technique is like
making user to put more effort in order to obtain feedback
explicitly. And by utilizing this feedback count, the content
will be optimized.
This has been overcome by using implicit feedback gather
indirectly from the user by monitoring behaviours of user
during searching. Here the relevance feedback without much
effort of user.
The main advantage is counting reading time, scrolling that
is interaction with the document. If they read for more time
that article is rated as interesting as opposed not
(printing,saving,and bookmarking) is considered to be an
interaction that automatically rates the articles.
Hyper Clique Keyword Rank Swapping Algorithm:
RV-Ranking Value
IR-Initial Value
Wi-Websites
i->Order according to the popularity and ranking
(1,2,3,………n)
Nv-No of views
Ti-Time duration
K->Keyword
Let WIR=0 [initially]
For (i=0;i<50;i++)
If K==Website Content (Wi)
Display Wi
Else
For (j=0;j<50;j++)
Match K->Wi
While Ti>0 and Nv>0
Do Nv&&Ti->S
End while
If S>RV(Wi)
swap RV(Wi)=S
End for
End if
Hyper clique Keyword Rank Swapping Algorithm describes
about swapping the rank value of the websites. It checks for
the user clicks and update the rank value. And also verifies
whether the previous rank value of the website is greater
than new rank value that is been calculated. After that it
swaps the new rank value of the website with the old one.
5. COMPARISON
Table 1 shows comparison of all the three algorithms
Table 1: Comparison of algorithms
Algorith
m
Page
Rank
Weighted
Page
Rank
HITS Rank
Swappin
g
Algorith
m
Mining
technique
used
WSM
WSM WSM &
WCM
WUM
Working Computes
scores at
indexing
time.
Results
are
sorted
according
to
importanc
e of
pages.
Computes
scores at
indexing
time.
Results
are sorted
according
to
Page
importanc
e.
Compute
s
hub and
authority
scores of
n
highly
relevant
pages on
the
fly.
Updates
websites
with
ranking.
Provides
proper
search
results
implicitl
y
accordin
g to the
users
usage
I/P
Paramete
rs
Backlinks Backlinks
,
Forward
links
Backlink
s,
Forward
Links &
content
Back
and
forward
links
Limitatio
ns
Query
independe
nt
Query
independe
nt
Topic
drift
and
efficienc
y
problem
Key
word
depende
nt
4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 06 | Jun-2014, Available @ http://www.ijret.org 447
6. CONCLUSIONS
Thus the system is done with the status of producing a new
facility that it can provide a intermediate sophisticated user
views on websites. This might be giving a different view on
collecting the user’s feedback. The process of providing a
new environment to the user for better searching to be
done.It has been considering dwell time interpretation also
made significant attention. Here the dwell time means stay
time, the amount of time spent in the document by focussing
user logs and also based on click behaviours.
User can get web search results accordingly to their own
interest but they may be expressed explicitly. In future
geographic locations and more user click behaviors can be
analyzed and tailored into this system for better
performance. By this way of improving optimization will
provide outstanding web services in future.
REFERENCES
[1] J.A. Konstan, B.N. Miller, D. Maltz, J.L. Her locker,
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ACM, vol. 40, pp. 77-87, 1997.
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SIGIR Conf. Research and Development in
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Collaborative Filtering,” Proc. 16th Int’l Joint Conf.
Artificial Intelligence (IJCAI), 1999.
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Recommendation on Dynamic Content Using
Predictive Bilinear Models,” Proc. 18th
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Wide Web Conf. (WWW), 2009.
[10] R. Jin, J.Y. Chai, and L. Si, “An Automatic
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Development in Information Retrieval (SIGIR),
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Phadke, “A Case Study of Behavior-Driven Conjoint
Analysis on Yahoo! Front Page Today Module,”
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Karger, “The Perfect Search Engine Is Not Enough:
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Search,” Proc. SIGCHI Conf. Human Factors in
Computing Systems (CHI), 2004