اثربخشی بسط پرس‌وجو مبتنی بر خوشه‌بندی اسناد شبه‌بازخورد با الگوریتم K-NN

   [1]      R. Krovetz, "Homonymy and polysemy in information retrieval," Proceedings of the 35^th Annual Meeting of the Association for Computational Linguistics and 8^th Conference of the European Chapter of the Association for Computational Linguistics, pp. 72-79, 1997.

   [2]      A. Spink, and B.J. Jansen, A Study of Web Search Trends, Available online at: http://www.webology.ir/2004/v1n2/-

a4.html/.

   [3]      M. Sanderson, "Ambiguous queries: test collections need more sense," Proceedings of the 31^st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 499-506, 2008.

   [4]      J. Xu, and W.B. Croft, "Query expansion using local and global document analysis.," Proceedings of the 19^th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 4-11, 1996.

   [5]      J.X. Huang, J. Miao, and B. He, "High performance query expansion using adaptive co-training," Information Processing and Management, vol. 49, pp. 441-453, 2013.

   [6]      K.S. Lee, and W.B. Croft, "A deterministic resampling method using overlapping document clusters for pseudo-relevance feedback," Information Processing and Management, vol. 49, pp. 792-806, 2013.

   [7]      S. Bashir, "Improving retrievability with improved cluster-based pseudo-relevance feedback selection," Expert Systems with Applications, vol. 39, pp. 7495-7502, 2012.

   [8]      V. Lavrenko, and W.B. Croft, "Relevance based language models," Proceedings of the 24^th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 120-127, 2001.

   [9]      K.S. Lee, Y.C. Park, and K.S. Choi, "Re-ranking model based on document clusters," Information Processing and Management, vol. 37, pp. 1-14, 2001.

[10]      K.S. Lee, K. Kageura, and K.S. Choi, "Implicit ambiguity resolution using incremental clustering in cross-language information retrieval," Information Processing and Management, vol. 40, pp. 145-159, 2004.

[11]      T. Anastasios, and C.J. Van-Rijsbergen, “Query-sensitive similarity measures for information retrieval,” Knowledge and Information Systems, vol. 6, no. 5, pp. 617-642, 2004.

[12]      G. Salton, A. Wong, and C.S. Yang, "A vector space model for automatic indexing," Communications of the ACM, vol. 18, pp. 613-620, 1975.

[13]      D. Hiemstra, "A linguistically motivated probabilistic model of information retrieval," Research and Advanced Technology for Digital Libraries, pp. 569-584, 1998.

[14]      U.O. Glascow, (2014/03), Medline collection, Available online at: http://ir.dcs.gla.ac.uk/resources/test_collections-

/medl/.

[15]      J.J. Rocchio, Relevance Feedback in Information Retrieval, 1971.

[16]      T. Sakai, T. Manabe, and M. Koyama, "Flexible pseudo-relevance feedback via selective sampling," ACM Transactions on Asian Language Information Processing, vol. 4, pp. 111-135, 2005.

[17]      A.L. Kaczmarek, "Interactive query expansion with the use of clustering-by-directions algorithm," IEEE Transactions on Industrial Electronics, vol. 58, pp. 3168-3173, 2011.

[18]      G. Bordogna, A. Campi, G. Psaila, and S. Ronchi, "Disambiguated query suggestions and personalized content-similarity and novelty ranking of clustered results to optimize web searches," Information Processing and Management, vol. 48, pp. 419-437, 2012.

[19]      N. Jardine, and C.J. Van-Rijsbergen, "The use of hierarchic clustering in information retrieval," Information Storage and Retrieval, vol. 7, pp. 217-240, 1971.

[20]      T. Strohman, D. Metzler, H. Turtle, and W.B. Croft, "Indri: a language model-based search engine for complex queries," Proceedings of the International Conference on Intelligent Analysis, pp. 2-6,  2005.