2009•Unpublished venueRequires access

Page Ranking Algorithms: A Survey

Neelam Duhan, Anukrati Sharma, Komal Kumar Bhatia

Open publisher page 148 citations

Abstract

Web mining is an active research area in present scenario. Web Mining is defined as the application of data mining techniques on the World Wide Web to find hidden information. This hidden information i. e. knowledge could be contained in content of Web pages or in link structure of WWW or in Web server logs. Based upon the type of knowledge, Web mining is usually divided in three categories: Web content mining, Web structure mining and Web usage mining. An application of Web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this paper, a survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out.

About this research paper

What this paper is about

Web mining is an active research area in present scenario. Web Mining is defined as the application of data mining techniques on the World Wide Web to find hidden information. This hidden information i. e. knowledge could be contained in content of Web pages or in link structure of WWW or in Web server logs. Based upon the type of knowledge, Web mining is usually divided in three categories: Web content mining, Web structure mining and Web usage mining. An application of Web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this paper, a survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out.

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OpenAlex reports 148 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Web mining is an active research area in present scenario. Web Mining is defined as the application of data mining techniques on the World Wide Web to find hidden information. This hidden information i. e. knowledge could be contained in content of Web pages or in link structure of WWW or in Web server logs. Based upon the type of knowledge, Web mining is usually divided in three categories: Web content mining, Web structure mining and Web usage mining. An application of Web mining can be seen in the case of search engines. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. In this paper, a survey of page ranking algorithms and comparison of some important algorithms in context of performance has been carried out.

Key concepts: Web mining, Computer science, Web page, Web search engine, Ranking (information retrieval), Web crawler, Information retrieval, World Wide Web

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