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面向主题的信息检索 被引量:1

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摘要 随着互联网业务的蓬勃发展,互联网上的信息也随之迅速膨胀。在这纷繁的数据海洋中,如何准确而有效地检索用户想要的有用的信息成为当今研究的热点。为解决通用搜索引擎存在的一些不足,设计了面向主题的信息检索系统。此系统能高效地检索并返回主题信息,帮助用户更精确、更快速地找到有用信息。
作者 李丽
出处 《软件》 2013年第6期127-127,共1页 Software
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参考文献4

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同被引文献18

  • 1Juan Cao,Tian Xia,Jintao Li,Yongdong Zhang,Sheng Tang.A density-based method for adaptive LDA model selection[J]. Neurocomputing . 2008 (7)
  • 2Dongshan Xing,Mark Girolami.Employing Latent Dirichlet Allocation for fraud detection in telecommunications[J]. Pattern Recognition Letters . 2007 (13)
  • 3Garfield E.Citation behavior—an aid or a hindrance to information retrieval?. Current Contents . 1989
  • 4Wang Y,Sabzmeydani P,Abzme G.Semi-latent Dirichlet Allocation: AHierarchical Model for Human Action Recognition. HumanMotion–Understanding, Modeling, Capture and Animation . 2007
  • 5X. Wang,A. McCallum.Topics over time: A nonmarkov continuoustime model of topical trends. Data Mining and Knowledge Discovery . 2006
  • 6NALLAPATI R,DITMORE S,LAFFERTY J,et al.Multiscale topic tomography. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . 2007
  • 7ALSUMAIT L,BARBARA D,DOMENICONI C.On-line Ida:Adaptive topic mod-els for mining text streams with applications to topic detection and tracking. IEEE International Conference on Data Mining . 2008
  • 8Hofmann T.Probabilistic latent semantic indexing. Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) . 1999
  • 9Zeng,Jia.A topic modeling toolbox using belief propagation. Journal of Machine Learning Research . 2012
  • 10Bin Zheng,David C McLean,Xinghua Lu.Identifying biological concepts from a protein-related corpus with a probabilistic topic model. BMC Bioinformatics . 2006

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