An Integrated Approach of Topic-Sensitive PageRank and Weighted PageRank for Web Mining

Shesh Narayan Mishra, Alka Jaiswal, Asha Ambhaikar


The www sources are increases tremendously. User’s surfing the web to fetch the relevant and accurate information of their query. Our proposed approach plays an important and effective role towards this direction. A new PageRank algorithm have been proposed for web structure mining to rank the search result based on the user’s topics. Our approach is based on some set of basic category which is top ODP category. A new algorithm is presented to yield accurate search results in respect to user’s query. Our approach shows the high relevant pages in top of few links and this links are better determined as compared to existing PageRank algorithm.


Keywords: Web structure mining; PageRank; Weighted PageRank; Topic sensitive PageRank

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