1J.Xu and W.Croft.Query expansion using local and global docu- ment analysis [C]// Proceedings of SIGIR.Zurich, Switzerland, 1996:4-1 1.
2X.Wang,C.Zhai.Mining term association patterns from search logs for effective query reformulation [C]/Proceedings of CIKM. Napa Valley, California.USA,2008:479-488.
6Xu JX, Croft WB.Improving the effectiveness of information retrieval with local context analysis.ACM Transactions on In- formation Systems,2000,18(1 ):79-1 12.
3Salton G, McGill M J. An Introduction to Modern Information Retrieval. New York, USA: McGraw-Hill, 1983.
4Yang Yiming, Pedersen J O. A Comparative Study on Feature Selection in Text Categorization// Proc of the 14th International Conference on Machine Learning. Nashville, USA, 1997:412 -420.
5Liu Yuanehao, Wang Xiaolong, Liu Bingquan. A Feature Selection Algorithm for Document Clustering Based on Word Co-Occurrence Frequency// Proc of the 3rd International Conference on Machine Learning and Cybernetics. Shanghai, China, 2004, Ⅴ: 2963 -2968.
6Cheng Yizong, Church G M. Biclustering of Expression Data// Proc of the 8th International Conference on Intelligent Systems for Molecular Biology. Vienna, Austria, 2000: 93- 103.
7Xue Guirong, Zeng Huajun, Chen Zheng, et al. Optimizing Web Search Using Web Click-through Data// Proc of the 13th ACM International Conference on Information and Knowledge Management. Washington, USA, 2004:118-126.
8Furnas G W,Landauer T K,Gomez L M,et al.The Vocabulary Problem in Human-system Communication[J].Communications of the ACM.1987,30(11):964-971.
9Bergman O,Marom R B,Nachmias R.Improved Search Engines and Navigation Preference in Personal Information Management[J].ACM Trans.on Information Systems,2008,26(4): 1-24.
10Deerwester S,Dumais S T,Furnas G W,et al.Indexing by Latent Semantic Analysis[J].Journal of the American Society for Information Science.1990,41(6):391-407.
