X. Amatriain and J. Basilico, Netflix recommendations: Be- yond the 5 stars, 2012.

L. Backstrom and J. Leskovec, Supervised random walks, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pp.635-644, 2011.
DOI : 10.1145/1935826.1935914

A. L. Barabasi, J. De, P. Lettres, L. Al, N. Cimento et al., Measuring preferential attachment in evolving networks, Europhysics Letters, issue.61, pp.61567-572, 2003.

J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, Recommender systems survey. Knowledge-Based Systems, pp.109-132, 2013.

A. Boutet, D. Frey, R. Guerraoui, A. Jégou, and A. Kermarrec, WHATSUP: A Decentralized Instant News Recommender, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, 2013.
DOI : 10.1109/IPDPS.2013.47

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

M. J. Brzozowski and D. M. Romero, Who should i follow? recommending people in directed social networks, ICWSM, 2011.

F. Inc, Key facts. https://newsroom.fb.com/Key-Facts, 2013.

Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, pp.119-139, 1997.
DOI : 10.1006/jcss.1997.1504

J. H. Friedman, Multivariate Adaptive Regression Splines, The Annals of Statistics, vol.19, issue.1, pp.1-67, 1991.
DOI : 10.1214/aos/1176347963

M. K. , J. Wing, S. Weston, A. Williams, C. Keefer et al., caret: Classification and Regression Training, 2013. R package version 5, pp.16-24

J. E. Gonzalez, Y. Low, H. Gu, D. Bickson, and C. Guestrin, Powergraph: Distributed graph-parallel computation on natural graphs, Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation, OSDI'12, pp.17-30

P. Gupta, A. Goel, J. Lin, A. Sharma, D. Wang et al., WTF, Proceedings of the 22nd international conference on World Wide Web, WWW '13, pp.505-514, 2013.
DOI : 10.1145/2488388.2488433

M. Hasan and M. Zaki, A Survey of Link Prediction in Social Networks, Social Network Data Analytics, pp.243-275, 2011.
DOI : 10.1007/978-1-4419-8462-3_9

S. B. Kotsiantis, Supervised machine learning: A review of classification techniques The Netherlands, Proceedings of the 2007 Conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies, pp.3-24, 2007.

D. Liben-nowell and J. Kleinberg, The link prediction problem for social networks, CIKM '03, pp.556-559, 2003.

R. N. Lichtenwalter, J. T. Lussier, and N. V. Chawla, New perspectives and methods in link prediction, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.243-252, 2010.
DOI : 10.1145/1835804.1835837

M. Rowe, M. Stankovic, and H. Alani, Who Will Follow Whom? Exploiting Semantics for Link Prediction in Attention-Information Networks, pp.476-491, 2012.
DOI : 10.1007/978-3-642-35176-1_30

S. Scellato, A. Noulas, and C. Mascolo, Exploiting place features in link prediction on location-based social networks, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.1046-1054, 2011.
DOI : 10.1145/2020408.2020575

A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, Methods and metrics for cold-start recommendations, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.253-260, 2002.
DOI : 10.1145/564376.564421

R. Schifanella, A. Barrat, C. Cattuto, B. Markines, and F. Menczer, Folks in Folksonomies, Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, pp.271-280, 2010.
DOI : 10.1145/1718487.1718521

URL : https://hal.archives-ouvertes.fr/hal-00429886

J. M. Tirado, D. Higuero, F. Isaila, J. Carretero, and A. Iamnitchi, Affinity P2P: A self-organizing content-based locality-aware collaborative peer-to-peer network, Computer Networks, vol.54, issue.12, pp.2056-2070, 2010.
DOI : 10.1016/j.comnet.2010.04.016

J. Valverde-rebaza, A. De-andrade, and . Lopes, Structural link prediction using community information on Twitter, 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), pp.132-137, 2012.
DOI : 10.1109/CASoN.2012.6412391

C. Wang, V. Satuluri, and S. Parthasarathy, Local Probabilistic Models for Link Prediction, Seventh IEEE International Conference on Data Mining (ICDM 2007), pp.322-331, 2007.
DOI : 10.1109/ICDM.2007.108

D. Yin, L. Hong, and B. D. Davison, Structural link analysis and prediction in microblogs, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1163-1168, 2011.
DOI : 10.1145/2063576.2063743