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SIGIR最新研究动向分析 被引量：2

The analysis of the latest research of SIGIR
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摘要 本文通过介绍当今信息检索领域的主要会议组织SIGIR的最新研究成果来给大家展现出整个信息检索领域最尖端的研究课题和方向。 This paper will present the latest research and directory on the organization SIGIR who lead the information retrieval technology.
作者 刘茜
机构地区 浙江理工大学图书馆
出处 《图书馆学研究》 2007年第2期88-90,60,共4页 Research on Library Science
关键词 SIGIR 信息检索 音频检索 跨语言 垃圾邮件过滤 SIGiR information retrieval audio retrieval cross-language spam filter
分类号 G359.712 [文化科学—情报学]
  • 相关文献

参考文献9

  • 1Anne Barron. Understanding spam: A mocro- textual analysis. Journal of Pragmatics, 2006, 38 (6): 880-904
  • 2James Carpinter, Ray Hunt. Tightening the net: A review of current and next generation spam filtering tools. Computers & Security, 2006, 25 (8): 566-578
  • 3Viviane Moreira Orengo, Christian Huyck Relevance feedback and cross-language information retrieval. Information Processing & Management, 2006, 42(5):1203-1217
  • 4Gregory Neverov, Paul Roe. Experiences with an object-oriented, multi- stage language. Science of Computer Programming, 2006, 62 (1): 85-94
  • 5Chaokun Wang, Jianzhong Li, Shengfei Shi. N-gram inverted index structures on music data for theme mining and content-based information retrieva 2006, 2? (5): 492-503
  • 6Donuld Byrd, Tim Crawford. Problems of music informution retrieval in the reol world. Informution Processing & Monogement, 2002, 38 (2): 249-272
  • 7http://www. sigir. org
  • 8http://trec. nist. gov
  • 9http://portal. ocm. org

同被引文献26

  • 1ACM SIGIR Special Interest Group on Information Re- trieval Home Page[EB/OL]. http://www.sigir.org/index. html, 2013-01-20.
  • 2A.F. Smeaton, G. Keogh, C. Gurrin, . Analysis of pa- pers from twenty-five years of SIGIR conferences: what have we been doing for the last quarter of a centu- ry?[J]. ACM SIGIR Forum, 2002, 36(2): 39-43.
  • 3Djoerd Hiemstra,Claudia Hauff,Franciska de Jong. SI- GIR's 30th anniversary: an analysis of trends in IR re- search and the topology of its community[J]. ACM SI- GIR Forum, 2007, 41(2): 18-24.
  • 4马少平,张敏.信息检索研究:过去三十年中我们走了多远[c].//中国中文信息学会.中国中文信息学会二十五周年学术会议.北京.中国中文信息学会,2006:11-17.
  • 5W. De Nooy, A. Mrvar, V. Batagelj. Exploratory social net- work analysis with Pajek[M].Cambridge: Cambridge Univer- sity Press, 2011 : 145.
  • 6ACM Digital Library. SIGIR Proceedings [EB/OL]. http://dl. acm.org/event.cfm?id=RE 160, 2013-01-20.
  • 7D. W. Oard, D. Soergel, I). Doermann, 9. Building an infor- mation retrieval test collection for spontaneous conversation- al speech[C]. New York: ACM, Proceedings of the 29th annu- al international ACM SIGIR conference on Research and de- velopment in information retrieval, 2004:41-48.
  • 8J. Mamou, B. Ramabhadran, O. Siohan. Vocabulary indepen- dent spoken term detection[C]. New York: ACM, Proceed- ings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007: 615-622.
  • 9D. Can, E. Cooper, A. Ghoshal. Web Derived Pronunciations for Spoken Term Detection[C]. New York: ACM, Proceed- ings of the 32rid Annual International ACM SIGIR Confer- ence on Research and Development in Information Retriev- al, 2009:83-90.
  • 10孟微,庞景安.Pajek在情报学合著网络可视化研究中的应用[J].情报理论与实践,2008,31(4):573-575. 被引量：44

二级引证文献19

图书馆学研究
2007年 第2期

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