Improved relevance ranking in WebGather |
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Authors: | Ming Lei Jianyong Wang Baojue Chen Xiaoming Li |
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Affiliation: | (1) Networking & Distributed Computer Systems Laboratory, Department of Computer Science & Technology, Peking University, 10087 Beijing, P. R. China |
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Abstract: | The amount of information on the web is growing rapidly and search engines that rely on keyword matching usually return too many fow quality matches. To improve search results, a challenging task for search engines is how to effectively calculate a relevane ranking for each web page. This paper discusses in what order a search engine should return the URLs it has produced in response to a user's query so as to show more relevant pages first. Emphasis is given on the ranking functions a-dopted by WebGather that take link structure and user popularity factors into account. Bxperimental results are also presented to evaluate the proposed strategy. |
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Keywords: | World Wide Web search engine relevance ranking WebGather |
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