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| Citation: | JIANG Yun-chen, LUO Sen-lin, HAN Lei, PAN Li-min. Text retrieval algorithm that decreases confusion[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2014, 23(1): 108-116.
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| [1] |
Ding Guodong, Bai Shuo, Wang Bin. A survey of statistical language modeling for text retrieval[J]. Journal of Computer Research and Development, 2006, 43(5): 769-776. (in Chinese)
|
| [2] |
Liu Haifeng, Wang Yuanyuan. Research of several problems in text retrieval based on VSM[J]. Journal of Information, 2006, 25(10): 57-59. (in Chinese)
|
| [3] |
Lee Changki, Lee Gary Geunbae. Probabilistic information retrieval model for a dependency structured indexing system[J]. Information Processing and Management, 2005, 41(2): 161-175.
|
| [4] |
Zaragoza Hugo, Hiemstra Djoerd, Tipping Michael. Bayesian extension to the language model for Ad Hoc information retrieval[C]//Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, 2003: 4-9.
|
| [5] |
Roelleke T, Wang Jun. TF-IDF Uncovered: a study of theories and probabilities[C]//Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, 2008: 435-442.
|
| [6] |
Gao Jing, Zhang Jun. Clustered SVD strategies in latent semantic indexing[J]. Information Processing and Management, 2005, 41(5): 1051-1063.
|
| [7] |
Zhai Chengxiang.Statistical language models for information retrieval a critical review[J]. Foundations and Trends in Information Retrieval, 2008, 2(3): 137-213.
|
| [8] |
Ponte J M, Croft W B. A language modeling approach to information retrieval[C]//Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, 1998: 275-281.
|
| [9] |
Hofmann T. Probabilistic latent semantic indexing[C]//Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, 1999: 50-57.
|
| [10] |
Lafferty J, Zhai Chengxiang. Document language models, query models, and risk minimization for information retrieval[C]//Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, 2001: 111-119.
|
| [11] |
Shakery A, Zhai ChengXiang. A probabilistic relevance propagation model for hypertext retrieval[C]//Proceedings of the 15th ACM International Conference on Information and Knowledge Management, New York, 2006: 550-558.
|
| [12] |
Zhang Wenjin.Probabilistic model of text information retrieval[J]. Journal of Information, 2005, 25(3): 107-110. (in Chinese)
|
| [13] |
Song Fei, Croft W B. A general language model for information retrieval[C]//Proceedings of the 8
thInternational Conference of Information and Knowledge Management, New York, 1999: 316-321.
|
| [14] |
Zhai C, Lafferty J. A study of smoothing methods for language models applied to information retrieval[J]. ACM Transaction on Information Systems, 2004, 22(2): 179-214.
|
| [15] |
MacKay D, Peto L. A hierarchical dirichlet language model[J]. Natural Language Engineering, 1995, 1(3): 289-307.
|
| [16] |
Ney H, Essen U, Kneser R. On structuring probabilistic dependencies in stochastic language modeling[J]. Computer Speech and Language, 1994, 8(1): 1-28.
|
| [17] |
Gai Jie, Wang Yi, Wu Gangshan. The theory and application of latent semantic analysis[J]. Computer Application Research, 2004, 21(3): 9-12. (in Chinese)
|
| [18] |
Zhang Min, Ma Shaoping, Song Ruihua.DF or IDF? on the use of primary feature model for web information retrieval [J]. Journal of Software, 2005, 16(5): 1012-1020. (in Chinese)
|
| [19] |
Efron M. Query expansion and dimensionality reduction: notions of optimality in rocchio relevance feedback and latent semantic indexing[J]. Information Processing and Management, 2008, 44(1): 163-180.
|
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