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International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)

Jianhong Zhou
Jianhong Zhou
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ASME Press
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Searching on the World Wide Web is the second most frequent operation on the Web after e-mail [1]. Page ranking relates to searching through a group of web pages or other similar cross referenced resources. A Link Analysis Ranking algorithm proceeds to extracting the hyperlinks between the collection of Web pages and produces a weight for each Web page. This paper describes HITS algorithm and techniques developed for reducing the query time cost of HITS ranking algorithm.

Key Words
1 Introduction
2. Speed Up Hits Algorithm Using Bloom Filters
4. Optimization of Ranking Algorithms Based on Bloom Filter
5. Summaries
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