Available online at: www.ijarcsse.com An Effective Algorithm for Web Mining Based on Topic Sensitive Link Analysis

Abstract—A New PageRank have been proposed to rank the results of a search system based on a user’s topic or query. This paper introduces a concept towards this direction; search based on ranking of some set of categories that comprise a user search profile. New algorithms are presented that utilize web page categories to search results. Web structure mining plays an effective role in this approach. Some page ranking algorithms PageRank, Weighted PageRank are commonly used for web structure mining. The original PageRank algorithm search-query results independent of any particular search query. To yield more accurate search results respects to a particular topic, we propose a new algorithm Topic sensitive weighted page rank based on web structure mining that will show the relevancy of the pages of a given topic is better determined, as compared to the existing PageRank, Topic sensitive PageRank and Weighted PageRank algorithms. For ordinary keyword search queries, Topic Sensitive Weigted PageRank scores will satisfy the topic of the query