M. S. Mcnee, J. Riedl, and J. A. Konstan, Accurate is not always good. How Accuracy Metrics have hurt, Proc. ACM, CHI '06, 2006.

P. Massa and P. Avesani, Trust-aware recommender systems, Proceedings of the 2007 ACM conference on Recommender systems , RecSys '07, pp.17-24, 2007.
DOI : 10.1145/1297231.1297235

J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl, An algorithmic framework for performing collaborative filtering, Proc. 22nd ACM SIGIR'99, 1999.
DOI : 10.1145/3130348.3130372

C. Wilson, B. Boe, A. Sala, K. P. Puttaswamy, and B. Y. Zhao, User interactions in social networks and their implications, Proceedings of the fourth ACM european conference on Computer systems, EuroSys '09, pp.205-218, 2009.
DOI : 10.1145/1519065.1519089

G. Pitsilis, M. , and L. F. , Modeling Trust for Recommender Systems using Similarity Metrics, Proc. IFIPTM, pp.103-118, 2008.
DOI : 10.1007/978-0-387-09428-1_7

H. Liu, E. Lim, H. W. Lauw, M. Le, A. Sun et al., Predicting trusts among users of online communities, Proceedings of the 9th ACM conference on Electronic commerce, EC '08, pp.310-319, 2008.
DOI : 10.1145/1386790.1386838

Y. O. Kwon, Improving top-n recommendation techniques using rating variance, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, 2008.
DOI : 10.1145/1454008.1454059

T. Kim and S. Yang, Using Attributes to Improve Prediction Quality in Collaborative Filtering, Proc. EC-Web 2004, pp.1-10, 2004.
DOI : 10.1007/978-3-540-30077-9_1

K. Truong, F. Ishukawa, and S. Hodinen, Improving Accuracy of Recommender System by Item Clustering, E90-D.NO9, 2007.
DOI : 10.1093/ietisy/e90-d.9.1363

J. L. Herlocker, Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems, vol.22, issue.1, pp.5-53, 2004.
DOI : 10.1145/963770.963772

URL : http://www.cs.orst.edu/~herlock/papers/tois2004.pdf

U. Shardanand and P. Maes, Social information filtering, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, pp.210-217, 1995.
DOI : 10.1145/223904.223931

P. Melville, R. L. Mooney, and R. Nagarajan, Content-Boosted Collaborative Filtering for Improved Recommendations, Proc. of 18th National conf. of Artificial Intelligence, pp.187-192, 2002.

A. Jøsang, A LOGIC FOR UNCERTAIN PROBABILITIES, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.5, issue.03, 2001.
DOI : 10.1080/03081079708945189

R. Levien, Advogato's trust metric, White Paper, 2009.

N. Lathia, S. Hailes, C. , L. Karabulut, Y. Mitchell et al., Trust-Based Collaborative Filtering, pp.87-102, 2008.
DOI : 10.1007/978-0-387-09428-1_8

K. Truong, F. Ishukawa, and S. Hodinen, Improving Accuracy of Recommender System by Item Clustering, 90)-D.N(O9, 2007.
DOI : 10.1093/ietisy/e90-d.9.1363

B. M. Sarwar, G. Karypis, J. A. Konstan, and J. T. Riedl, Application of Dimensionality Reduction in Recommender Systems?a case study, In ACM WebKDD Workshop, 2000.
DOI : 10.21236/ADA439541

H. Geng, X. Deng, A. , and H. , A new Clustering Algorithm using Message Passing and its applications in Analyzing Microarray Data, Proc. of 4th ICMLA, pp.145-150, 2005.

P. Melville, R. J. Mooney, and R. Nagarajan, Content-Boosted Collaborative Filtering for Improved Recommendations, Proc. of 18th National ACM Conf. of Artificial Intelligence, pp.187-192, 2002.

P. Massa and P. Avesani, Controversial Users demand Local Trust Metrics: an Experimental Study on Epinions.com Community, Proc. of 20 th National conf. AAAI'05, pp.121-126, 2005.

D. Boyd and N. B. Ellison, Social network sites: Definition, History, and Scholarship, Journal of Computer-Mediated Communication, vol.13, issue.1, 2007.
DOI : 10.1109/emr.2010.5559139

O. 'donovan, J. Smyth, and B. , Trust No One: Evaluating Trust-based Filtering for Recommenders, Proc. of the 19 th International Joint Conference on Artificial Intelligence IJCAI, pp.1663-1665, 2005.