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Web查询日志研究综述 被引量:8

Research on Analysis and Mining of Web Query Logs
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摘要 本文对查询日志在相关领域内的研究现状与进展进行了总结.首先介绍了web查询日志的常用信息和公开的数据集;进而阐述了查询日志在web搜索、信息抽取等方面的相关研究,并对它们进行了细致的介绍和分析;最后指出基于查询日志研究所面临的问题和挑战.重在对基于查询日志研究的主流方法和前沿进展进行概括、比较和分析,以期对后续研究有所助益. This paper surveys the state-of-the-art research on query logs analysis.First,the existing corpus of query logs and the information embedded in are summarized and analyzed. Then,important tasks benefiting from query logs are introduced,includ- ing web search, information extraction, as well as some closely related topics. Finally, the problems and challenges of current re- searches are discussed. This paper aims to make a summ^try, comparison and analysis of the mainstream methods and the latest progress, expecting to be helpful to the future research.
出处 《电子学报》 EI CAS CSCD 北大核心 2013年第9期1800-1808,共9页 Acta Electronica Sinica
基金 国家自然科学基金(No.60736044 No.61073126)
关键词 查询日志分析 查询日志挖掘 WEB搜索 信息抽取 analysis on query logs mining on query logs web search information extrac6on
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参考文献63

  • 1Cui H, WenJR, NieJY, Ma WY. Query expansion by mining user 10gs[J] . IEEE Transaction on Knowledge and Data Engi?neering,2003, 15( 4) : 829 - 839.
  • 2Fonseca BM. Concept-based interactive query expansion[AJ. Proceeding of the CIKM[CJ . New York: ACM Press, 2005 . 696 -703.
  • 3崔航,文继荣,李敏强.基于用户日志的查询扩展统计模型[J].软件学报,2003,14(9):1593-1599. 被引量:61
  • 4Baeza-Yates, Hurtado C, Mendoza M. Query recommendation using query logs in search engines[AJ . Proceeding of the EDBT Workshop[CJ. Berlin, Heidelberg: Springer-Verlag, 2004 . 588 - 596.
  • 5Cao HH,Jiang DX,PeiJ,He Q,Liao Z,Chen EH,Li H.Con?text-aware query suggestion by mining click-through and ses?sion data[AJ . Proceeding of the KDD[CJ . New York: ACM Press, 2008 . 875 - 883 .
  • 6Huang C, et al. Relevant term suggestion in interactive web search based on contextual information in query session logs[J] .Jouma1 of the American Society for Information Science and Technology, 2003 . 54( 7) : 638 - 649.
  • 7Zhao SQ, Wang HF, Liu T. Paraphrasing with search engine query 10gs[AJ. Proceeding of the COLING[CJ. Morristown: ACL,2010.1317 - 1325.
  • 8Pasca M. Weakly-supervised discovery of named entities using web search queries[AJ . Proceeding of the CIKM[CJ . New York:ACM Press, 2007 .683 - 690.
  • 9GuoJF, Xu G, Cheng XQ, Li H. 2009. Named entity recogni?tion in query[AJ . Proceeding of the SIGIR[CJ . New York: ACM Press, 2009.267 - 274.
  • 10DuJ ,Zhang ZM, YanJ,Cui Y ,Cheng Z. Using search session context for named entity recognition in query[AJ . Proceeding of the SIGIR[c . New York:ACM Press, 2010. 765 -766.

二级参考文献177

  • 1彭波,李晓明.搜索引擎倒排文件的一种分块组织技术[J].电子学报,2005,33(2):358-362. 被引量:9
  • 2韩立新.对搜索引擎中评分方法的研究[J].电子学报,2005,33(11):2094-2096. 被引量:4
  • 3王继民,彭波.搜索引擎用户点击行为分析[J].情报学报,2006,25(2):154-162. 被引量:45
  • 4彭鑫,赵文耘,钱乐秋.基于领域特征本体的构件语义描述和组装[J].电子学报,2006,34(B12):2473-2477. 被引量:5
  • 5H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen and H. Li, Context aware query suggestion by mining click-through and session data[C]//Proceed ing of the 14th ACM SIGKDD. New York; ACM, 2008: 875-883.
  • 6D. Gayo-Avello. A survey on session detection meth ods in query logs and a proposal for future evaluation [J]. Information Science: an International Journal. Elsevier Science Inc. May, 2009, 179 (12):1822- 1843.
  • 7R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval [M]. New York: ACM, and England: Addison-Wesley, 1999.
  • 8Yanan Li, Sen Zhang, Bin Wang, Jintao Li, Characteristics of Chinese Web Searching: A Large-Scale Analysis of Chinese Query Logs [J]. Journal of Computational Information Systems, 2008, 4(3): 1127- 1136.
  • 9D. Gleich, L. Zhukov. SVD based term suggestion and ranking system [C]//ICDM'04. IEEE, 2004.
  • 10H Ma, H Yang, I King, M R Lyu. Learning latent semantic relations from clickthrough data for query suggestion [C]//CIKM' 08. New York: ACM, 2008:709-718.

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