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Improved Relevance Ranking in WebGather 被引量:4

Improved Relevance Ranking in WebGather
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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.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 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).
关键词 World Wide Web search engine relevance ranking WebGather World Wide Web, search engine, relevance ranking, WebGather
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参考文献3

  • 1Lei Ming,计算机研究与发展,2000年,37卷,10期,1265页
  • 2Liu Jianguo,Proceedings of the Fourth Int Conference/Exhibition on High Performance Computing in the Asia Pacifi,2000年,751页
  • 3Zhou Limin,软件学报,1998年,增,504页

同被引文献38

  • 1S Brin,L Page.The Anatomy of a Large-Scale Hypertexual Web Search Engine[A].Proc of the 7th WWW Conf[C].1998.
  • 2天网.北京大学天网中英搜索引擎[EB/OL].http://e.pku.edu.cn,2003-10.
  • 3YAN Hongfei,WANG Jianyong,LI Xiaoming.A Dynamically Reconfigurable Model for a Distributed Web Crawling System[A].2001 Int'l Conf on Computer Networks and Mobile Computing[C].2001.157-162.
  • 4YAN Hongfei,WANG Jianyong,LI Xiaoming,et al.Architectural Design and Evaluation of an Efficient Web-Crawling System[J].Journal of System and Software,2002,60(3):185-193.
  • 5天网知名度[EB/OL].http://net.cs.pku.edu.cn/~fame/,2003-10.
  • 6I H Witten,A Moffat,T C Bell.张仲颖,曹文斌,曹永革译.海量数据管理-文档和图像的压缩与索引[M].北京:科学出版社龙门书局,1996.
  • 7A Moffat,J Zobel.Self-Indexing Inverted Files for Fast Text Retrieval[J].ACM Trans on Information Systems,1996,14(4):349-379.
  • 8G Navarro,E Moura,M Neubert,et al.Adding Compression to Block Addressing Inverted Indexes[J].Kluwer Information Retrieval Journal,2000,3(1):49-77.
  • 9A Tomasic,H Garcia-Molina.Query Processing and Inverted Indices in Shared-Nothing Document Information Retrieval Systems[J].VLDB Journal,1993,2(3):243-275.
  • 10ICL.北京大学计算语言所[EB/OL].http://icl.pku.edu.cn,2003-10.

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