Improved Relevance Ranking in WebGather  

作　　者：雷鸣 王建勇 陈葆珏 李晓明 

出　　处：《Journal of Computer Science & Technology》2001年第5期410-417,共8页计算机科学技术学报（英文版）

基　　金：the National "9th Five-Year Plan)" Key Technology Project (No. 96-743-01-05-01) and the NKBRSF of China (No. G1999032706).

摘　　要：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.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.

关 键 词：World Wide Web search engine relevance ranking WebGather 

分 类 号：TP393.03[自动化与计算机技术—计算机应用技术]