L. Alsumait, D. Barbará, and C. Domeniconi, On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking, 2008 Eighth IEEE International Conference on Data Mining, pp.3-12, 2008.
DOI : 10.1109/ICDM.2008.140

D. Andrzejewski and D. Buttler, Latent topic feedback for information retrieval, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.600-608, 2011.
DOI : 10.1145/2020408.2020503

R. Arun, V. Suresh, C. E. Veni-madhavan, N. Murthy, and M. N. , On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations, Proceedings of the 14th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining -Volume Part I, pp.391-402, 2010.
DOI : 10.1007/978-3-642-13657-3_43

J. Bai, J. Nie, G. Cao, and H. Bouchard, Using query contexts in information retrieval, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, pp.15-22, 2007.
DOI : 10.1145/1277741.1277747

M. Bendersky, D. Metzler, and W. B. Croft, Parameterized concept weighting in verbose queries, Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, SIGIR '11, pp.605-614, 2011.
DOI : 10.1145/2009916.2009998

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet Allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003.

J. Cao, T. Xia, J. Li, Y. Zhang, and S. Tang, A density-based method for adaptive LDA model selection, Neurocomputing, vol.72, issue.7-9, pp.1775-1781, 2009.
DOI : 10.1016/j.neucom.2008.06.011

B. Carterette and P. Chandar, Probabilistic models of ranking novel documents for faceted topic retrieval, Proceeding of the 18th ACM conference on Information and knowledge management, CIKM '09, pp.1287-1296, 2009.
DOI : 10.1145/1645953.1646116

Y. Chang, I. Ounis, and M. Kim, Query reformulation using automatically generated query concepts from a document space, Information Processing & Management, vol.42, issue.2, 2006.
DOI : 10.1016/j.ipm.2005.03.025

C. L. Clarke, N. Craswell, I. Soboroff, and E. M. Voorhees, Overview of the TREC, 2011.

S. Clinchant and E. Gaussier, Information-based models for ad hoc IR, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.234-241, 2010.
DOI : 10.1145/1835449.1835490
URL : https://hal.archives-ouvertes.fr/hal-00953830

G. V. Cormack, M. D. Smucker, and C. L. Clarke, Efficient and effective spam filtering and re-ranking for large web datasets, Information Retrieval, vol.11, issue.5, pp.441-465, 2011.
DOI : 10.1007/s10791-011-9162-z

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.391-407, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

R. Deveaud and F. Boudin, LIA/LINA at the INEX 2012 Tweet Contextualization track, Focused Access to Content, Structure and Context: 11th International Workshop of the Initiative for the Evaluation of XML Retrieval, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00755496

R. Deveaud, E. Sanjuan, and P. Bellot, Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp.148-152, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01314959

R. Deveaud, E. Sanjuan, and P. Bellot, Unsupervised Latent Concept Modeling to Identify Query Facets, Proceedings of the 10th Conference on Open Research Areas in Information Retrieval, pp.93-100, 2013.

F. Diaz and D. Metzler, Improving the estimation of relevance models using large external corpora, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '06, pp.154-161, 2006.
DOI : 10.1145/1148170.1148200

O. Egozi, S. Markovitch, and E. Gabrilovich, Concept-Based Information Retrieval Using Explicit Semantic Analysis, ACM Transactions on Information Systems, vol.29, issue.2, pp.1-834, 2011.
DOI : 10.1145/1961209.1961211

L. Finkelstein, E. Gabrilovich, Y. Matias, E. Rivlin, Z. Solan et al., Placing search in context, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.116-131, 2002.
DOI : 10.1145/371920.372094

D. Graff and C. Cieri, English Gigaword. Philadelphia: Linguistic Data Consortium, 2003.

T. L. Griffiths and M. Steyvers, Finding scientific topics, Proceedings of the National Academy of Sciences, vol.101, issue.Supplement 1, 2004.
DOI : 10.1073/pnas.0307752101

B. He and I. Ounis, Finding good feedback documents, Proceeding of the 18th ACM conference on Information and knowledge management, CIKM '09, pp.2011-2014, 2009.
DOI : 10.1145/1645953.1646289

T. Hofmann, Unsupervised Learning by Probabilistic Latent Semantic Analysis, Machine Learning, vol.42, issue.1/2, pp.177-196, 2001.
DOI : 10.1023/A:1007617005950

P. Ingwersen, Polyrepresentation of Information Needs and Semantic Entities Elements of a Cognitive Theory for Information Retrieval Interaction, Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.101-110, 1994.
DOI : 10.1007/978-1-4471-2099-5_11

K. Jones, Retrieving Information Or Answering Questions? British Library Research and Development Department, 1990.

V. Lavrenko and W. B. Croft, Relevance based language models, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, pp.120-127, 2001.
DOI : 10.1145/383952.383972

Y. Li, W. P. Luk, K. S. Ho, and F. L. Chung, Improving Weak Ad-hoc Queries Using Wikipedia As External Corpus, Proceedings of the 30th annual international acm sigir conference on research and development in information retrieval, pp.797-798, 2007.

S. Liu, F. Liu, C. Yu, and W. Meng, An effective approach to document retrieval via utilizing WordNet and recognizing phrases, Proceedings of the 27th annual international conference on Research and development in information retrieval , SIGIR '04, 2004.
DOI : 10.1145/1008992.1009039

Y. Lu, Q. Mei, and C. Zhai, Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA, Information Retrieval, vol.101, issue.Suppl 1, pp.178-203, 2011.
DOI : 10.1007/s10791-010-9141-9

D. Metzler, Y. Bernstein, W. B. Croft, A. Moffat, and J. Zobel, Similarity measures for tracking information flow, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, pp.517-524, 2005.
DOI : 10.1145/1099554.1099695

D. Metzler and W. B. Croft, A Markov random field model for term dependencies, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pp.472-479, 2005.
DOI : 10.1145/1076034.1076115

D. Metzler and W. B. Croft, Latent concept expansion using markov random fields, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, pp.311-318, 2007.
DOI : 10.1145/1277741.1277796
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.3291

D. Newman, J. H. Lau, K. Grieser, and T. Baldwin, Automatic Evaluation of Topic Coherence, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.100-108, 2010.

L. A. Park and K. Ramamohanarao, The Sensitivity of Latent Dirichlet Allocation for Information Retrieval, Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II, pp.176-188, 2009.
DOI : 10.1007/978-3-642-04174-7_12

S. E. Robertson and S. Walker, Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval, Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.232-241, 1994.
DOI : 10.1007/978-1-4471-2099-5_24

E. Sandhaus, The New York Times Annotated Corpus. Philadelphia: Linguistic Data Consortium, 2008.

F. M. Suchanek, G. Kasneci, and G. Weikum, Yago, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.697-706, 2007.
DOI : 10.1145/1242572.1242667
URL : https://hal.archives-ouvertes.fr/hal-01472497

T. Tao and C. Zhai, Regularized estimation of mixture models for robust pseudo-relevance feedback, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '06, pp.162-169, 2006.
DOI : 10.1145/1148170.1148201

Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei, Hierarchical Dirichlet Processes, Journal of the American Statistical Association, vol.101, issue.476, pp.1566-1581, 2006.
DOI : 10.1198/016214506000000302

X. Wei and W. B. Croft, LDA-based document models for ad-hoc retrieval, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '06, pp.178-185, 2006.
DOI : 10.1145/1148170.1148204

R. W. White, P. Bailey, and L. Chen, Predicting user interests from contextual information, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '09, pp.363-370, 2009.
DOI : 10.1145/1571941.1572005

Z. Ye, J. X. Huang, and H. Lin, Finding a good query-related topic for boosting pseudo-relevance feedback, Journal of the American Society for Information Science and Technology, vol.22, issue.2, pp.748-760, 2011.
DOI : 10.1002/asi.21501

X. Yi and J. Allan, A Comparative Study of Utilizing Topic Models for Information Retrieval, Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval, pp.29-41, 2009.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

C. Zhai and J. Lafferty, A study of smoothing methods for language models applied to information retrieval, ACM Transactions on Information Systems, vol.22, issue.2, pp.179-214, 2004.
DOI : 10.1145/984321.984322