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聚类搜索引擎探究 被引量:3

Study on Clustering Search Engine
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摘要 一批代表性的聚类搜索引擎的出现,使得聚类搜索引擎的优劣逐步为公众所知。采用聚类算法、重视结果的显示方式、关注用户提问信息、提供个性化服务均是聚类搜索引擎最显著的优点,应该引起足够的重视。针对过分依托原生搜索引擎、没有形成专用聚类算法、搜索速度相对较慢、聚类层次有限等现状,作者最后还对聚类搜索引擎的发展提出了一些建议,比如实现人工聚类与自动聚类结合、增加学术趋势分析功能、加强相关度研究等。 Emergence of clustering search engine makes their advantages and disadvantages known by public. We should pay special attentions to these advantages such as adopting clustering algorithm, visualization of search results, taking notice of user query, supporting personalized service and providing relative tools. As far as some disadvantages, such as completely relying on other general search engines, limited clustering algorithm, slower search speed and limited clustering levels, are concerned, the author brings forward some recommendations about development of clustering search engine, such as integrating artificial clustering with computer clustering, supporting analysis of academic trend, and strengthening a study of relativity.
出处 《图书馆学研究》 CSSCI 北大核心 2009年第1期32-35,共4页 Research on Library Science
关键词 搜索引擎 聚类搜索 超级搜索 自动聚类 动态聚类 search engine clustering search super search engine computer clustering dynamic clustering
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参考文献20

  • 1TechWeb.聚类搜索BBMAO入选RedHerring亚洲百强.http://www.techweb.com.cn/news/2006-09-01/91829.shtmt.2008-08-28
  • 2中国知识资源总库.http://dlib.edu.cnki.net/knsSO/scdbsear-ch/cdbindex.apx,2008-08-28
  • 3中国大百科全书总编辑委员会编.中国大百科全书.图书馆学.情报学.档案学.北京:中国大百科全书出版社,1993
  • 4cnki搜索.http://search.cnki.net,2008-09-02
  • 5Touchgraph. http: //www. touchgraph.com/index, html, 2008-08- 28
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  • 7第易搜--有点另类的聚类搜索.http://www.diglog.com/story-technology-internet-24712/,2008-09-02
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  • 9Vivisimo. http://Vivisimo. com/products/ClusteringEngine/ Introduction, html, 2008-08-28
  • 10余晋等.PinkySearch:基于聚类的元搜索引擎.http://net.pku.edu.cn/tianjing/download/NDBC.pdf,2008-08-28

二级参考文献9

  • 1Heting Chu.Information representation and retrieval in the Digital Age(作者电子文本)63-64,136-141.
  • 2.[EB/OL].http://www.alltheweb.com/html.,.
  • 3.alltheweb 技术说明[EB/OL].http://www.alltheweb.com/help/faqs/resuIts-page.html.,.
  • 4.[EB/OL].http://www.vivisimo.com.,.
  • 5.[EB/OL].http://vivisimo.com/products/Clustering_Engine/Introduction.html.,.
  • 6.[EB/OL].http://www.teoma.com/.,.
  • 7.[EB/OL].http://sp.teoma.com/docs/teoma/about/searchwithauthority.html.,.
  • 8.[EB/OL].http://www.guidebeam.com/html.,.
  • 9The Guidebeam Philosophy. http://www.guidebeam.com/whitepaper.html.

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