期刊文献+

基于社区的问答元搜索引擎设计与实现

The Design and Implementation of Community-based Question Answering Meta Search Engine
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摘要 基于社区的问答是近几年出现并流行的一种有效的信息搜寻网络应用。文章介绍了针对这种社区的元搜索引擎的工作原理,信息提取、分词、相关度排序等关键技术的实现方法,实验结果表明元搜索引擎提高了查准率。 Community-based Question answering sites have emerged as popular and effective means of information seeking on the web in recent years. This paper introduces the principle of meta-search engines oriented community and implementation of key techniques such as information extraction, word segmentation and relevancy ranking. Experimental result demonstrates that meta-search engine has sufficiently improved the precision.
作者 黄玉 陈军
出处 《电脑知识与技术》 2009年第11X期9593-9596,共4页 Computer Knowledge and Technology
关键词 搜索引擎 元搜索引擎 基于社区的问答 search engine meta-search engine community-based question answering
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参考文献7

  • 1黄玉,陈军.基于社区的问答搜索引擎搜索结果重合率研究[J].山东科学,2009,22(4):59-63. 被引量:2
  • 2樊佳怡.图书馆虚拟参考咨询与互动问答咨询的比较与启示[J].图书馆研究与工作,2007(4):37-40. 被引量:5
  • 3Jiwoon Jeon,W. Bruce Croft,Joon Ho Lee.Finding Semantically Similar Questions Based on Their Answers[].Proceedings of the annual international ACM SIGIR conference on Research and development in information retrieval.2005
  • 4Agichtein E,Castillo C,Donato D.Finding High-Quality Content in Social Media[].First ACM International Conference on Web Search and Web Data Mining (WSDM ‘).2008
  • 5BIAN J,,LIU Y D,AGICHTEIN E,et al.Finding the Right Facts in the Crowd:Factoid Question Answering Over Social Media[].Proceeding of the th International Conference on World Wide Web.2008
  • 6LIU Y D,BIAN J,AGICHTEIN E.Predicting Information Seeker satisfaction in Community Question Answering[].Proceedings of the st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.2008
  • 7Amanda Spink,Bernard J Jansen,Chris Blakely,Sherry Koshman.A study of results overlap and uniqueness among major Web search engines[].Information Processing Letters.2006

二级参考文献8

  • 1百度知道网.http://zhidao.baidu.com.[EB/OL][2009-04-03].http://zhidao.baidu.com.
  • 2JEON J,CROFY W B,LEE J H.Finding Semantically Similar Questions Based on Their Answers[C]//Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval.Salvador,Brazil.ACM,2005:617 -618.
  • 3AGICHTEIN E,CASTILLO C,DONATO D,et al.Finding High-quality Content in Social Media[C]//Proceedinga of the International Conference on Web Search and Web Data Mining.Palo Alto,California,USA.ACM,2008:183 -194.
  • 4BIAN J,LIU Y D,AGICHTEIN E,et al.Finding the Right Facts in the Crowd:Factoid Question Answering Over Social Media[C]//Proceeding of the 17th International Conference on World Wide Web.Beijing,China.ACM,2008:467 -476.
  • 5LIU Y D,BIAN J,AGICHTEIN E.Predicting Information Seeker satisfaction in Community Question Answering[C]// Proceedings of the 31st Annual International ACM S1GIR Conference on Research and Development in Information Retrieval.Singapore,Singapore.ACM,2008:483-490.
  • 6SPINK A,JANSEN B J,BLAKELY C,et al.A Study of Results Overlap and Uniqueness Among Major Web Search Engines[J].Information Processing and Management,2006,42(5):1379 -1391.
  • 7王益明,刘菲.中文搜索引擎搜索结果重合率研究报告2007[R/OL].[2009-04-03].http://www.searchlab.com.cn/thesis.php.
  • 8樊佳怡.图书馆虚拟参考咨询与互动问答咨询的比较与启示[J].图书馆研究与工作,2007(4):37-40. 被引量:5

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