An Intelligent Meta Search Engine for Efficient Web Document Retrievaliosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
2 Article on investment
what is an investment discussed and its benefits of investment? in 1500 words
Introduction:
An investment is defined as the process of committing resources, such as money, time, or effort, to a particular venture with the expectation of receiving future returns that compensate for the initial investment. Investing can be done in various assets, including stocks, bonds, real estate, and commodities. Investment is a crucial aspect of personal finance and wealth management, and it can provide numerous benefits to investors.
Benefits of Investment:
Wealth Creation:
Investing can help individuals create wealth over time. By investing their money in stocks, bonds, or real estate, investors can earn returns on their investment that can grow their wealth. For instance, investing in stocks of companies that are expected to perform well can provide significant returns over the long term. Similarly, investing in real estate can provide rental income and appreciation in property values, leading to wealth creation.
Income Generation:
Investments can also provide a regular source of income for investors. For example, bonds pay regular interest income to investors, while stocks of companies that pay dividends can provide a steady income stream. Real estate investments can also generate rental income. Investing in dividend-paying stocks or bonds can provide a reliable source of income for retirees or individuals looking to supplement their income.
Diversification:
Investing can help individuals diversify their portfolio, which can reduce risk. By investing in various assets, investors can spread their risk across different sectors and asset classes, reducing the impact of any single investment on their overall portfolio. For example, a portfolio that includes stocks, bonds, and real estate can provide diversification, reducing the impact of market fluctuations on the portfolio.
Hedge Against Inflation:
Investing can help investors hedge against inflation. Inflation erodes the value of money over time, and investing in assets that can provide returns that outpace inflation can help protect an investor's purchasing power. For example, stocks and real estate investments have historically provided returns that have outpaced inflation.
Tax Benefits:
Investments can also provide tax benefits to investors. For example, contributions to retirement accounts, such as 401(k)s or individual retirement accounts (IRAs), can provide tax deductions and deferrals, which can reduce an investor's tax liability. Similarly, investments in municipal bonds can provide tax-free income to investors.
Types of Investment:
Stocks:
Investing in stocks involves purchasing ownership in a publicly-traded company. As the company's value increases, the value of the investor's ownership, or shares, also increases. Investing in stocks can provide significant returns over the long term, but it also carries higher risk than some other investments.
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.
SEO considers how search engines work, the computer programmed algorithms which dictate search engine behavior, what people search for, the actual search terms or keywords typed into search engines, and which search engines are preferred by their targeted audience. Optimizing a website may involve editing its content, adding content, doing HTML, and associated coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines.
SEO may target different kinds of search, including image search, video search, academic search,[2] news search, and industry-specific vertical search engines. SEO differs from local search engine optimization in that the latter is focused on optimizing a business' online presence so that its web pages will be displayed by search engines when a user enters a local search for its products or services.
Design Issues for Search Engines and Web Crawlers: A ReviewIOSR Journals
Abstract: The World Wide Web is a huge source of hyperlinked information contained in hypertext documents.
Search engines use web crawlers to collect these web documents from web for storage and indexing. The prompt
growth of the World Wide Web has posed incomparable challenges for the designers of search engines and web
crawlers; that help users to retrieve web pages in a reasonable amount of time. In this paper, a review on need
and working of a search engine, and role of a web crawler is being presented.
Key words: Internet, www, search engine, types, design issues, web crawlers.
An Intelligent Meta Search Engine for Efficient Web Document Retrievaliosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
2 Article on investment
what is an investment discussed and its benefits of investment? in 1500 words
Introduction:
An investment is defined as the process of committing resources, such as money, time, or effort, to a particular venture with the expectation of receiving future returns that compensate for the initial investment. Investing can be done in various assets, including stocks, bonds, real estate, and commodities. Investment is a crucial aspect of personal finance and wealth management, and it can provide numerous benefits to investors.
Benefits of Investment:
Wealth Creation:
Investing can help individuals create wealth over time. By investing their money in stocks, bonds, or real estate, investors can earn returns on their investment that can grow their wealth. For instance, investing in stocks of companies that are expected to perform well can provide significant returns over the long term. Similarly, investing in real estate can provide rental income and appreciation in property values, leading to wealth creation.
Income Generation:
Investments can also provide a regular source of income for investors. For example, bonds pay regular interest income to investors, while stocks of companies that pay dividends can provide a steady income stream. Real estate investments can also generate rental income. Investing in dividend-paying stocks or bonds can provide a reliable source of income for retirees or individuals looking to supplement their income.
Diversification:
Investing can help individuals diversify their portfolio, which can reduce risk. By investing in various assets, investors can spread their risk across different sectors and asset classes, reducing the impact of any single investment on their overall portfolio. For example, a portfolio that includes stocks, bonds, and real estate can provide diversification, reducing the impact of market fluctuations on the portfolio.
Hedge Against Inflation:
Investing can help investors hedge against inflation. Inflation erodes the value of money over time, and investing in assets that can provide returns that outpace inflation can help protect an investor's purchasing power. For example, stocks and real estate investments have historically provided returns that have outpaced inflation.
Tax Benefits:
Investments can also provide tax benefits to investors. For example, contributions to retirement accounts, such as 401(k)s or individual retirement accounts (IRAs), can provide tax deductions and deferrals, which can reduce an investor's tax liability. Similarly, investments in municipal bonds can provide tax-free income to investors.
Types of Investment:
Stocks:
Investing in stocks involves purchasing ownership in a publicly-traded company. As the company's value increases, the value of the investor's ownership, or shares, also increases. Investing in stocks can provide significant returns over the long term, but it also carries higher risk than some other investments.
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.
SEO considers how search engines work, the computer programmed algorithms which dictate search engine behavior, what people search for, the actual search terms or keywords typed into search engines, and which search engines are preferred by their targeted audience. Optimizing a website may involve editing its content, adding content, doing HTML, and associated coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines.
SEO may target different kinds of search, including image search, video search, academic search,[2] news search, and industry-specific vertical search engines. SEO differs from local search engine optimization in that the latter is focused on optimizing a business' online presence so that its web pages will be displayed by search engines when a user enters a local search for its products or services.
Design Issues for Search Engines and Web Crawlers: A ReviewIOSR Journals
Abstract: The World Wide Web is a huge source of hyperlinked information contained in hypertext documents.
Search engines use web crawlers to collect these web documents from web for storage and indexing. The prompt
growth of the World Wide Web has posed incomparable challenges for the designers of search engines and web
crawlers; that help users to retrieve web pages in a reasonable amount of time. In this paper, a review on need
and working of a search engine, and role of a web crawler is being presented.
Key words: Internet, www, search engine, types, design issues, web crawlers.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
The web has become a resourceful tool for almost all domains today. Search engines prominently use
inverted indexing technique to locate the web pages having the users query. The performance of inverted
index fundamentally depends upon the searching of keyword in the list maintained by search engine. Text
matching is done with the help of string matching algorithm. It is important to any string matching
algorithm to locate quickly the occurrences of the user specified pattern in large text. In this paper a new
string matching algorithm for keyword searching is proposed. The proposed algorithm relies on new
technique based on pattern length and FML (First-Middle-Last) character match. This proposed
algorithm is analysed and implemented. The extensive testing and comparisons are done with BoyerMoore, Naïve, Improved Naïve, Horspool and Zhu Takaoka. The result shows that the proposed
algorithm takes less time than other existing algorithm.
Effective Performance of Information Retrieval on Web by Using Web Crawling dannyijwest
World Wide Web consists of more than 50 billion pages online. It is highly dynamic [6] i.e. the web
continuously introduces new capabilities and attracts many people. Due to this explosion in size, the
effective information retrieval system or search engine can be used to access the information. In this paper
we have proposed the EPOW (Effective Performance of WebCrawler) architecture. It is a software agent
whose main objective is to minimize the overload of a user locating needed information. We have designed
the web crawler by considering the parallelization policy. Since our EPOW crawler has a highly optimized
system it can download a large number of pages per second while being robust against crashes. We have
also proposed to use the data structure concepts for implementation of scheduler & circular Queue to
improve the performance of our web crawler. (Abstract)
An Effective Approach for Document Crawling With Usage Pattern and Image Base...Editor IJCATR
As the Web continues to grow day by day each and every second a new page gets uploaded into the web; it has become
a difficult task for a user to search for the relevant and necessary information using traditional retrieval approaches. The amount of
information has increased in World Wide Web, it has become difficult to get access to desired information on Web; therefore it
has become a necessity to use Information retrieval tools like Search Engines to search for desired information on the Internet or
Web. Already Existing and used Crawling, Indexing and Page Ranking techniques that are used by the underlying Search Engines
before the result gets generated, the result sets that are returned by the engine lack in accuracy, efficiency and preciseness. The
return set of result does not really satisfy the request of the user and results in frustration on the user’s side. A Large number of
irrelevant links/pages get fetched, unwanted information, topic drift, and load on servers are some of the other issues that need to
be caught and rectified towards developing an efficient and a smart search engine. The main objective of this paper is to propose
or present a solution for the improvement of the existing crawling methodology that makes an attempt to reduce the amount of load
on server by taking advantage of computational software processes known as “Migrating Agents” for downloading the related
pages that are relevant to a particular topic only. The downloaded Pages are then provided a unique positive number i.e. called the
page has been ranked, taking into consideration the combinational words that are synonyms and other related words, user
preferences using domain profiles and the interested field of a particular user and past knowledge of relevance of a web page that
is average amount of time spent by users. A solution is also been given in context to Image based web Crawling associating the
Digital Image Processing technique with Crawling.
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.
Quest Trail: An Effective Approach for Construction of Personalized Search En...Editor IJCATR
Personalized search refers to search experiences that are tailored specifically to an individual's interests by incorporating information about the individual beyond specific query provided. Especially people working in a software development organization (analysts, developers, testers, maintenance team members), find it increasingly difficult to get relevant results to their searches. We propose methods to personalize searches by resolving the ambiguity of query terms, and increase the relevance of search results in order to match the user’s interests. Difficulty in web searches has given rise to the need for development of personalized search engines. Personalized search engines create user profiles to capture the users’ personal preferences and as such identify the actual goal of the input query. Since users are usually reluctant to explicitly provide their preferences due to the extra manual effort involved, the search engine faces the entire burden of predicting the user’s preferences and intentions behind a query in order to yield more relevant search results. In this paper we define a QUEST to be the objective of user’s search; here we combine quest level analysis of user’s search logs and semantic analysis of the user’s query in order to personalize user’s search results. Most personalization methods focus on the creation of one single profile for a user and apply the same profile to all of the user’s queries. Hence we propose a personalized search for a software development organization by creating QUEST or domain based profile rather than individual user based profile.
Research on Document Indexing in the Search Engines. The main theme of Informational retrieval is to send the exact response of a user for specific Query.
The information search retrieval is a very big process, to achieve this concept we need to develop an application with more effect and we have to use techniques like Document indexing, page ranking, clustering technique. Among all of these Document index is plays avital role while searching why since instead of searching hundreds of thousands of documents it will directly go to the particular index and will give the output here. Here our achievement mainly is indexing, the clear meaning of the indexing is storing an index is to optimize speed and performance in finding the appropriate/corresponding document for the user searched query.
My conclusion is the context based index approach is used in the query retrieval, this is mainly from the source document. Instead of searching every page on server, finding technically is better. Due to this we can save our time, we can reduce the burden of server.
Research Report on Document Indexing-Nithish KumarNithish Kumar
Research on Document Indexing in the Search Engines. The main theme of Informational retrieval is to send the exact response of a user for specific Query.
The information search retrieval is a very big process, to achieve this concept we need to develop an application with more effect and we have to use techniques like Document indexing, page ranking, clustering technique. Among all of these Document index is plays avital role while searching why since instead of searching hundreds of thousands of documents it will directly go to the particular index and will give the output here. Here our achievement mainly is indexing, the clear meaning of the indexing is storing an index is to optimize speed and performance in finding the appropriate/corresponding document for the user searched query.
My conclusion is the context based index approach is used in the query retrieval, this is mainly from the source document. Instead of searching every page on server, finding technically is better. Due to this we can save our time, we can reduce the burden of server.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.iosrjce
The internet is a vast collection of billions of web pages containing terabytes of information
arranged in thousands of servers using HTML. The size of this collection itself is a formidable obstacle in
retrieving necessary and relevant information. This made search engines an important part of our lives. Search
engines strive to retrieve information as relevant as possible. One of the building blocks of search engines is the
Web Crawler. We tend to propose a two - stage framework, specifically two smart Crawler, for efficient
gathering deep net interfaces. Within the first stage, smart Crawler, performs site-based sorting out centre
pages with the assistance of search engines, avoiding visiting an oversized variety of pages. To realize
additional correct results for a targeted crawl, smart Crawler, ranks websites to order extremely relevant ones
for a given topic. Within the second stage, smart Crawler, achieves quick in – site looking by excavating most
relevant links with associate degree accommodative link -ranking
mailto : sovan107@gmail.com : To get this for FREE
Hi Viewers,
Seminar Slides are also available for this report. Please email me to get both,
Thanks
Sovan
SPEEDING UP THE WEB CRAWLING PROCESS ON A MULTI-CORE PROCESSOR USING VIRTUALI...ijwscjournal
A Web crawler is an important component of the Web search engine. It demands large amount of hardware resources (CPU and memory) to crawl data from the rapidly growing and changing Web. So that the crawling process should be a continuous process performed from time-to-time to maintain up-to-date crawled data. This paper develops and investigates the performance of a new approach to speed up the crawling process on a multi-core processor through virtualization. In this approach, the multi-core processor is divided into a number of virtual-machines (VMs) that can run in parallel (concurrently)
performing different crawling tasks on different data. It presents a description, implementation, and evaluation of a VM-based distributed Web crawler. In order to estimate the speedup factor achieved by the VM-based crawler over a non-virtualization crawler, extensive crawling experiments were carried-out to
estimate the crawling times for various numbers of documents. Furthermore, the average crawling rate in documents per unit time is computed, and the effect of the number of VMs on the speedup factor is investigated. For example, on an Intel® Core™ i5-2300 CPU @2.80 GHz and 8 GB memory, a speedup
factor of ~1.48 is achieved when crawling 70000 documents on 3 and 4 VMs.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
The web has become a resourceful tool for almost all domains today. Search engines prominently use
inverted indexing technique to locate the web pages having the users query. The performance of inverted
index fundamentally depends upon the searching of keyword in the list maintained by search engine. Text
matching is done with the help of string matching algorithm. It is important to any string matching
algorithm to locate quickly the occurrences of the user specified pattern in large text. In this paper a new
string matching algorithm for keyword searching is proposed. The proposed algorithm relies on new
technique based on pattern length and FML (First-Middle-Last) character match. This proposed
algorithm is analysed and implemented. The extensive testing and comparisons are done with BoyerMoore, Naïve, Improved Naïve, Horspool and Zhu Takaoka. The result shows that the proposed
algorithm takes less time than other existing algorithm.
Effective Performance of Information Retrieval on Web by Using Web Crawling dannyijwest
World Wide Web consists of more than 50 billion pages online. It is highly dynamic [6] i.e. the web
continuously introduces new capabilities and attracts many people. Due to this explosion in size, the
effective information retrieval system or search engine can be used to access the information. In this paper
we have proposed the EPOW (Effective Performance of WebCrawler) architecture. It is a software agent
whose main objective is to minimize the overload of a user locating needed information. We have designed
the web crawler by considering the parallelization policy. Since our EPOW crawler has a highly optimized
system it can download a large number of pages per second while being robust against crashes. We have
also proposed to use the data structure concepts for implementation of scheduler & circular Queue to
improve the performance of our web crawler. (Abstract)
An Effective Approach for Document Crawling With Usage Pattern and Image Base...Editor IJCATR
As the Web continues to grow day by day each and every second a new page gets uploaded into the web; it has become
a difficult task for a user to search for the relevant and necessary information using traditional retrieval approaches. The amount of
information has increased in World Wide Web, it has become difficult to get access to desired information on Web; therefore it
has become a necessity to use Information retrieval tools like Search Engines to search for desired information on the Internet or
Web. Already Existing and used Crawling, Indexing and Page Ranking techniques that are used by the underlying Search Engines
before the result gets generated, the result sets that are returned by the engine lack in accuracy, efficiency and preciseness. The
return set of result does not really satisfy the request of the user and results in frustration on the user’s side. A Large number of
irrelevant links/pages get fetched, unwanted information, topic drift, and load on servers are some of the other issues that need to
be caught and rectified towards developing an efficient and a smart search engine. The main objective of this paper is to propose
or present a solution for the improvement of the existing crawling methodology that makes an attempt to reduce the amount of load
on server by taking advantage of computational software processes known as “Migrating Agents” for downloading the related
pages that are relevant to a particular topic only. The downloaded Pages are then provided a unique positive number i.e. called the
page has been ranked, taking into consideration the combinational words that are synonyms and other related words, user
preferences using domain profiles and the interested field of a particular user and past knowledge of relevance of a web page that
is average amount of time spent by users. A solution is also been given in context to Image based web Crawling associating the
Digital Image Processing technique with Crawling.
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.
Quest Trail: An Effective Approach for Construction of Personalized Search En...Editor IJCATR
Personalized search refers to search experiences that are tailored specifically to an individual's interests by incorporating information about the individual beyond specific query provided. Especially people working in a software development organization (analysts, developers, testers, maintenance team members), find it increasingly difficult to get relevant results to their searches. We propose methods to personalize searches by resolving the ambiguity of query terms, and increase the relevance of search results in order to match the user’s interests. Difficulty in web searches has given rise to the need for development of personalized search engines. Personalized search engines create user profiles to capture the users’ personal preferences and as such identify the actual goal of the input query. Since users are usually reluctant to explicitly provide their preferences due to the extra manual effort involved, the search engine faces the entire burden of predicting the user’s preferences and intentions behind a query in order to yield more relevant search results. In this paper we define a QUEST to be the objective of user’s search; here we combine quest level analysis of user’s search logs and semantic analysis of the user’s query in order to personalize user’s search results. Most personalization methods focus on the creation of one single profile for a user and apply the same profile to all of the user’s queries. Hence we propose a personalized search for a software development organization by creating QUEST or domain based profile rather than individual user based profile.
Research on Document Indexing in the Search Engines. The main theme of Informational retrieval is to send the exact response of a user for specific Query.
The information search retrieval is a very big process, to achieve this concept we need to develop an application with more effect and we have to use techniques like Document indexing, page ranking, clustering technique. Among all of these Document index is plays avital role while searching why since instead of searching hundreds of thousands of documents it will directly go to the particular index and will give the output here. Here our achievement mainly is indexing, the clear meaning of the indexing is storing an index is to optimize speed and performance in finding the appropriate/corresponding document for the user searched query.
My conclusion is the context based index approach is used in the query retrieval, this is mainly from the source document. Instead of searching every page on server, finding technically is better. Due to this we can save our time, we can reduce the burden of server.
Research Report on Document Indexing-Nithish KumarNithish Kumar
Research on Document Indexing in the Search Engines. The main theme of Informational retrieval is to send the exact response of a user for specific Query.
The information search retrieval is a very big process, to achieve this concept we need to develop an application with more effect and we have to use techniques like Document indexing, page ranking, clustering technique. Among all of these Document index is plays avital role while searching why since instead of searching hundreds of thousands of documents it will directly go to the particular index and will give the output here. Here our achievement mainly is indexing, the clear meaning of the indexing is storing an index is to optimize speed and performance in finding the appropriate/corresponding document for the user searched query.
My conclusion is the context based index approach is used in the query retrieval, this is mainly from the source document. Instead of searching every page on server, finding technically is better. Due to this we can save our time, we can reduce the burden of server.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.iosrjce
The internet is a vast collection of billions of web pages containing terabytes of information
arranged in thousands of servers using HTML. The size of this collection itself is a formidable obstacle in
retrieving necessary and relevant information. This made search engines an important part of our lives. Search
engines strive to retrieve information as relevant as possible. One of the building blocks of search engines is the
Web Crawler. We tend to propose a two - stage framework, specifically two smart Crawler, for efficient
gathering deep net interfaces. Within the first stage, smart Crawler, performs site-based sorting out centre
pages with the assistance of search engines, avoiding visiting an oversized variety of pages. To realize
additional correct results for a targeted crawl, smart Crawler, ranks websites to order extremely relevant ones
for a given topic. Within the second stage, smart Crawler, achieves quick in – site looking by excavating most
relevant links with associate degree accommodative link -ranking
mailto : sovan107@gmail.com : To get this for FREE
Hi Viewers,
Seminar Slides are also available for this report. Please email me to get both,
Thanks
Sovan
SPEEDING UP THE WEB CRAWLING PROCESS ON A MULTI-CORE PROCESSOR USING VIRTUALI...ijwscjournal
A Web crawler is an important component of the Web search engine. It demands large amount of hardware resources (CPU and memory) to crawl data from the rapidly growing and changing Web. So that the crawling process should be a continuous process performed from time-to-time to maintain up-to-date crawled data. This paper develops and investigates the performance of a new approach to speed up the crawling process on a multi-core processor through virtualization. In this approach, the multi-core processor is divided into a number of virtual-machines (VMs) that can run in parallel (concurrently)
performing different crawling tasks on different data. It presents a description, implementation, and evaluation of a VM-based distributed Web crawler. In order to estimate the speedup factor achieved by the VM-based crawler over a non-virtualization crawler, extensive crawling experiments were carried-out to
estimate the crawling times for various numbers of documents. Furthermore, the average crawling rate in documents per unit time is computed, and the effect of the number of VMs on the speedup factor is investigated. For example, on an Intel® Core™ i5-2300 CPU @2.80 GHz and 8 GB memory, a speedup
factor of ~1.48 is achieved when crawling 70000 documents on 3 and 4 VMs.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
2. Introduction
What is Search Engine?
Components of Search Engine
How Search Engine Works
The role of DNS and IP Address
Crawling and Indexing
Important Search Engines
Challenges faced by Search Engines
Advantages and Disadvantages
Conclusion
3.
4. A search engine is like a helpful tool on the internet. It helps you
find things online, like websites, information,
and pictures.
Functions Of Search Engine
Indexing: Search engines crawl the web and create an index of web
pages.
Ranking: They use algorithms to rank these pages based on
relevance to user queries.
Retrieval: Search engines provide search results in response to user
queries.
6. Web Crawler is also known as a search engine bot, web
robot, or web spider. It plays an essential role in search
engine optimization (SEO) strategy.
It is mainly a software component that traverses on the web,
then downloads and collects all the information over the
Internet.
7. The search engine database is a type of Non Relational Databases. It is
the place where all the web information is stored. It has a large
number of web resources. Some most popular search engine databases
are Amazon Search Service and Splunk.
There are the following two database variable features :
1) Size of the database
2) The freshness of the database
8. The Search Interface is one of the most important components of
Search Engine. It is an interface between the user and the
database. It basically helps users to search for queries using the
database.
9. The ranking algorithm is used by Google to rank web pages
according to the Google search algorithm.
There are the following ranking features that affect the search
results -
Location and frequency
Link Analysis
Clickthrough measurement
10.
11. There are two entities in client-server Architecture. They are -
Client
Server
1) CLIENT
The entity that request the resource .
In the above example the devices which are requesting for
the resource over the internet like laptop , mobile are the
clients.
12. 1)SERVER
The entity which has the resource and which can give the
desired content or which responds to the responds to
the request is known as server
The server plays a critical role in facilitating the exchange of data and
information on the internet, serving as a central hub for processing
and delivering content.
In the above example we can see the server which is
receiving the client’s request.
13.
14. The Internet has revolutionized global technology by connecting
the entire world, following specific communication architecture
and structure.
The popular is the client-server architecture which is a computing
model, where the server hosts, distributes and controls the majority
of the resources as well as services to be used by the client.
Structural designs consist of client systems connected to central
servers via the internet. These systems share computing resources.
15. The client-server architecture is also termed as a network-
computing structure because every request and their associated
services are distributed over a network.
So now the question is how the thing works?
In the client-server architecture, when the client computer sends a
request for data to the server through the internet, the server
accepts the requested, process it and deliver the data packets
requested back to the client. One special feature is that the server
computer has the potential to manage numerous clients at the
same time. Also, a single client can connect to numerous servers
at a single timestamp, where each server provides a different set of
services to that specific client.
16. Advantages of Search Engine
Searching content on the Internet becomes one of the most popular
activities all over the world. In the current era, the search engine is
an essential part of everyone's life because the search engine offers
various popular ways to find valuable, relevant, and informative
content on the Internet.
A list of advantages of search engines is given below –
1. Time-Saving
Eliminate the need to find information manually.
Perform search operations at a very high speed.
17. 2. Variety of information
The search engine offers various variety of resources to obtain
relevant and valuable information from the Internet. By using a
search engine, we can get information in various fields such as
education, entertainment, games, etc. The information which we get
from the search engine is in the form of blogs, pdf, ppt, text, images,
videos, and audios.
3. Precision
All search engines have the ability to provide more precise results.
18. Disadvantages of Search Engine
There are the following disadvantages of Search Engines
Sometimes the search engine takes too much time to display
relevant, valuable, and informative content.
Search engines, especially Google, frequently update their
algorithm, and it is very difficult to find the algorithm in which
Google runs.
It makes end-users effortless as they all time use search engines to
solve their small queries also.
19. Search engine allows the user find the information they need.
Search engine is designed to relevant results. The primary goal is
to provide high quality search results over a rapidly growing
world wide web.
Search engines will continue to expand and improve the services
they provide.
Search engines will continue to expand and improve the services
they provide, enhancing the user experience and adapting to
evolving online content.