An Improved HITS Algorithm Based on Page-query Similarity and Page Popularity
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| Title | An Improved HITS Algorithm Based on Page-query Similarity and Page Popularity |
| Authors | |
| Abstract | The HITS algorithm is a very popular and effective algorithm to rank web documents based on the link information among a set of web pages. However, it assigns every link with the same weight. This assumption results in topic drift. In this paper, we firstly define the generalized similarity between a query and a page, and the popularity of a web page. Then we propose a weighted HITS algorithm which differentiates the importance of links with the query-page similarities and the popularity of web pages. Experimental results indicate that the improved HITS algorithm can find more relevant pages than HITS and improve the relevance by 30%-50%. Furthermore, it can avoid the problem of topic drift and enhance the quality of web search effectively. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2012-01-01 |
| Source | Journal of Computers Vol 7, No 1 (2012): Special Issue: Parallel Algorithms, Scheduling and Architectures |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |