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2012•International Journal of Computer ApplicationsOpen access

Survey on Web Page Ranking Algorithms

Mercy PaulSelvan, A. Chandrasekar, A. Priya Dharshini

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Abstract

Day by day the growth of the World Wide Web is increasing very rapidly.One of the research quotes "There are more than 11.3 billion web pages in the World Wide Web".Search engines help the user to surf the web.Due to the vast number of web pages it is highly impossible for the user to retrieve the apt web page he needs.Thus, Web search ranking algorithms play an important role in ranking web pages so that the user could retrieve the page which is most relevant to the user's query.This paper presents a study of some useful web Page ranking algorithms and comparison of these algorithms.

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What this paper is about

Day by day the growth of the World Wide Web is increasing very rapidly.One of the research quotes "There are more than 11.3 billion web pages in the World Wide Web".Search engines help the user to surf the web.Due to the vast number of web pages it is highly impossible for the user to retrieve the apt web page he needs.Thus, Web search ranking algorithms play an important role in ranking web pages so that the user could retrieve the page which is most relevant to the user's query.This paper presents a study of some useful web Page ranking algorithms and comparison of these algorithms.

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OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Day by day the growth of the World Wide Web is increasing very rapidly.One of the research quotes "There are more than 11.3 billion web pages in the World Wide Web".Search engines help the user to surf the web.Due to the vast number of web pages it is highly impossible for the user to retrieve the apt web page he needs.Thus, Web search ranking algorithms play an important role in ranking web pages so that the user could retrieve the page which is most relevant to the user's query.This paper presents a study of some useful web Page ranking algorithms and comparison of these algorithms.

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

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