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2012•Unpublished venueRequires access

A Novel Page Rank Algorithm for Web Mining based on User's Interest

Aruk Kumar Singh, Niraj Singhal

Open publisher page 2 citations

Abstract

Abstract- The web can be viewed as the largest database available and presents a challenging task for effective design and access. With the tremendous growth of Web, the main objective is to provide relevant information to the user to fulfil their needs. Data Mining applied to Web has the potential to be quiet beneficial. Web Mining is the mining of data related to World wide Web. Web search engines are usually designed to serve user requirement without considering the user’s interest. In this paper we present Web content mining technique known as Personalization. With Personalization, Web access or the contents of a Web page are modified to better fit the desires of the user. This may involve actually creating Web pages that are unique per user or using the desires of a user to determine what Web documents to retrieve. This paper deals with the analysis of various Page Rank algorithms for Web mining based on user’s interest.

About this research paper

What this paper is about

Abstract- The web can be viewed as the largest database available and presents a challenging task for effective design and access. With the tremendous growth of Web, the main objective is to provide relevant information to the user to fulfil their needs. Data Mining applied to Web has the potential to be quiet beneficial. Web Mining is the mining of data related to World wide Web. Web search engines are usually designed to serve user requirement without considering the user’s interest. In this paper we present Web content mining technique known as Personalization. With Personalization, Web access or the contents of a Web page are modified to better fit the desires of the user. This may involve actually creating Web pages that are unique per user or using the desires of a user to determine what Web documents to retrieve. This paper deals with the analysis of various Page Rank algorithms for Web mining based on user’s interest.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract- The web can be viewed as the largest database available and presents a challenging task for effective design and access. With the tremendous growth of Web, the main objective is to provide relevant information to the user to fulfil their needs. Data Mining applied to Web has the potential to be quiet beneficial. Web Mining is the mining of data related to World wide Web. Web search engines are usually designed to serve user requirement without considering the user’s interest. In this paper we present Web content mining technique known as Personalization. With Personalization, Web access or the contents of a Web page are modified to better fit the desires of the user. This may involve actually creating Web pages that are unique per user or using the desires of a user to determine what Web documents to retrieve. This paper deals with the analysis of various Page Rank algorithms for Web mining based on user’s interest.

Key concepts: Web mining, Computer science, Web page, World Wide Web, Web navigation, Web modeling, Static web page, Web intelligence

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