O. Alonso and V. Kandylas, Study on Placement of Social Buttons in Web Pages, p.2014

A. Angel and N. Koudas, Efficient diversity-aware search, Proceedings of the 2011 international conference on Management of data, SIGMOD '11, pp.781-792, 2011.
DOI : 10.1145/1989323.1989405
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.366.4250

I. Badache and M. Boughanem, Harnessing Social Signals to Enhance a Search, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), pp.303-309, 2014.
DOI : 10.1109/WI-IAT.2014.48
URL : https://hal.archives-ouvertes.fr/hal-01109811

I. Badache and M. Boughanem, Social priors to estimate relevance of a resource, Proceedings of the 5th Information Interaction in Context Symposium on, IIiX '14, pp.106-114, 2014.
DOI : 10.1145/2637002.2637016

S. V. Chelaru, C. Orellana-rodriguez, and I. S. Altingovde, Can Social Features Help Learning to Rank YouTube Videos?, pp.552-566, 2012.
DOI : 10.1007/978-3-642-35063-4_40

B. D. Davison, Topical locality in the Web, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '00, pp.272-279, 2000.
DOI : 10.1145/345508.345597

W. S. Gosset, « The Probable Error of a Mean, Biometrika, vol.6, issue.1, pp.1-25, 1908.

D. Hiemstra, A Linguistically Motivated Probabilistic Model of Information Retrieval, ECDL Conference, pp.569-584, 1998.
DOI : 10.1007/3-540-49653-X_34

B. Karweg, C. Hütter, and K. Böhm, Evolving social search based on bookmarks and status messages from social networks, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1825-1834, 2011.
DOI : 10.1145/2063576.2063839

G. Kazai and N. Milic-frayling, « Effects of Social Approval Votes on Search Performance », Information Technology : New Generations, ITNG '09, pp.1554-1559, 2009.

A. Khodaei and O. Alonso, « Temporally-Aware Signals for Social Search, SIGIR Workshop on Time-aware Information Access, 2012.

C. Macdonald and I. Ounis, Voting for candidates, Proceedings of the 15th ACM international conference on Information and knowledge management , CIKM '06, pp.387-396, 2006.
DOI : 10.1145/1183614.1183671

E. Pielou and . Shannon, s formula as a measure of specific diversity : its use and misuse », American Naturalistp, pp.463-465, 1966.

J. M. Ponte and W. B. Croft, « A Language Modeling Approach to Information Retrieval », SI- GIR'98, pp.275-281, 1998.

L. Qin, J. X. Yu, and L. Chang, Diversifying top-k results, VLDB Endowment, pp.1124-1135, 2012.
DOI : 10.14778/2350229.2350233

D. Sullivan, « What Social Signals Do Google & Bing Really Count ? », Search Engine Land, 2010.

J. Vert, K. Tsuda, and B. Schölkopf, « A primer on kernel methods », Kernel Methods in Computational Biologyp, pp.35-70, 2004.

T. Westerveld, W. Kraaij, and D. Hiemstra, « Retrieving web pages using content, links, urls and anchors, 2002.

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