P. Resnick, N. Iacovou, M. Suchak, P. Bergstorm, and J. Riedl, GroupLens, Proceedings of the 1994 ACM conference on Computer supported cooperative work , CSCW '94, pp.175-186, 1994.
DOI : 10.1145/192844.192905

P. Lops, M. Gemmis, and G. Semeraro, Content-based Recommender Systems: State of the Art and Trends, Recommender Systems Handbook, pp.73-105, 2011.
DOI : 10.1007/978-0-387-85820-3_3

X. Su and T. M. Khoshgoftaar, A Survey of Collaborative Filtering Techniques, Advances in Artificial Intelligence, vol.46, issue.2, 2009.
DOI : 10.1002/asi.10372

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, vol.17, pp.734-749, 2005.

R. Sinha and K. Swearingen, The role of transparency in recommender systems, CHI '02 extended abstracts on Human factors in computing systems , CHI '02, pp.830-831, 2002.
DOI : 10.1145/506443.506619

H. Cramer, V. Evers, S. Ramlal, M. Van-someren, L. Rutledge et al., The effects of transparency on trust in and acceptance of a content-based art recommender, User Modeling and User-Adapted Interaction, vol.62, issue.6, pp.455-496, 2008.
DOI : 10.1007/s11257-008-9051-3

P. Massa and P. Avesani, Trust Metrics in Recommender Systems, Computing with Social Trust, pp.259-285, 2009.
DOI : 10.1007/978-1-84800-356-9_10

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.7914

C. Wei, W. Hsu, and M. Lee, A unified framework for recommendations based on quaternary semantic analysis, Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, SIGIR '11, pp.1023-1032, 2011.
DOI : 10.1145/2009916.2010052

N. Jakob, S. H. Weber, M. , M. C. Gurevych, and I. , Beyond the stars, Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion, TSA '09, pp.57-64, 2009.
DOI : 10.1145/1651461.1651473

S. Faridani, Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search, Proceedings of the fifth ACM conference on Recommender systems, RecSys '11, pp.355-358, 2011.
DOI : 10.1145/2043932.2044005

C. W. Leung, S. C. Chan, and F. Chung, Integrating Collaborative Filtering and Sentiment Analysis: A Rating Inference Approach, Proceedings of The ECAI 2006 Workshop on Recommender Systems, pp.62-66, 2006.

K. Toutanova, D. Klein, C. D. Manning, and Y. Singer, Feature-rich part-of-speech tagging with a cyclic dependency network, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.173-180, 2003.
DOI : 10.3115/1073445.1073478

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

G. Shani and A. Gunawardana, Evaluating Recommendation Systems, pp.73-105, 2011.
DOI : 10.1007/978-0-387-85820-3_8

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.600.7100

B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.285-295, 2001.
DOI : 10.1145/371920.372071

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7612

R. Salakhutdinov and A. Mnih, Probabilistic matrix factorization Advances in neural information processing systems, pp.1257-1264, 2008.

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Matrix factorization and neighbor based algorithms for the netflix prize problem, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.267-274, 2008.
DOI : 10.1145/1454008.1454049

M. De-gemmis, P. Lops, G. Semeraro, and P. Basile, Integrating tags in a semantic contentbased recommender, Proceedings of the 2008 ACM conference on Recommender systems, pp.163-170, 2008.