A Survey On Web Usage Mining For Web Page Recommendation Using Biclustering

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

A Survey On Web Usage Mining For Web Page Recommendation Using Biclustering
Author(s):
Pooja Solanki, Ms Jasmine Jha
Keywords:
Web usage mining, Recommender system, biclustering
Abstract
The World Wide Web contains an increasing amount of websites which in turn contains increasing number of web pages. When any user visits a new website they have to go through large number of web pages to meet their requirements. Web usage mining is the process of extracting useful knowledge from the server logs. This useful knowledge can be applied to target marketing and in the design of web portals. A Recommender system is one of the best web usage mining Application which reduces the difficulties faced by the users to meet their requirements .It recommends the pages of interest to the user. This report includes the survey of different clustering and biclustering techniques. Also we will discuss the biclustering approach which has some advantages over the traditional clustering approach.
Article Details
Unique Paper ID: 144449 Publication Volume & Issue: Volume 1, Issue 7 Page(s): 243 - 246
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