tirer profit des seuls jugements des utilisateurs se révèle pertinent lorsqu'aucune interaction signée n'est disponible, un cas particulièrement courant dans la majorité des réseaux sociaux actuels ,
Friends and neighbors on the Web, Social Networks, vol.25, issue.3, pp.211-230, 2003. ,
DOI : 10.1016/S0378-8733(03)00009-1
The political blogosphere and the 2004 U.S. election, Proceedings of the 3rd international workshop on Link discovery , LinkKDD '05, pp.36-43, 2005. ,
DOI : 10.1145/1134271.1134277
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.6, pp.734-749, 2005. ,
DOI : 10.1109/TKDE.2005.99
An Introduction to Social Network Data Analytics, 2011. ,
DOI : 10.1007/978-1-4419-8462-3_1
Online Analysis of Community Evolution in Data Streams, SDM, pp.56-67, 2005. ,
DOI : 10.1137/1.9781611972757.6
Mixed membership stochastic block models for relational data with application to protein-protein interactions, Proceedings of the international biometrics society annual meeting, p.5, 2006. ,
Link prediction using supervised learning, SDM'06 : Workshop on Link Analysis, Counter-terrorism and Security, 2006. ,
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
The Long Tail : Why the Future of Business Is Selling Less of More, 2006. ,
Modern information retrieval, 1999. ,
Fab: content-based, collaborative recommendation, Communications of the ACM, vol.40, issue.3, pp.66-72, 1997. ,
DOI : 10.1145/245108.245124
Regularization and semisupervised learning on large graphs, Learning theory, pp.624-638, 2004. ,
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights, Seventh IEEE International Conference on Data Mining (ICDM 2007), 2007. ,
DOI : 10.1109/ICDM.2007.90
Understanding Similarity Metrics in Neighbour-based Recommender Systems, Proceedings of the 2013 Conference on the Theory of Information Retrieval, ICTIR '13, pp.48-61, 2013. ,
DOI : 10.1145/2499178.2499186
Label Propagation and Quadratic Criterion, Semi- Supervised Learning, pp.193-216, 2006. ,
The netflix prize, Proceedings of KDD cup and workshop, p.35, 2007. ,
Node Classification in Social Networks, Social network data analytics, pp.115-148, 2011. ,
DOI : 10.1007/978-1-4419-8462-3_5
Learning probabilistic user models, Proceedings of the Workshop on Machine Learning for User Models, Sixth International Conference on User Modeling, 1996. ,
Latent dirichlet allocation, the Journal of machine Learning research, vol.3, pp.993-1022, 2003. ,
Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, pp.2008-10008, 2008. ,
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070
Recommender systems survey. Knowledge-Based Systems, 2013. ,
On Finding Graph Clusterings with Maximum Modularity, Graph-Theoretic Concepts in Computer Science, pp.121-132, 2007. ,
DOI : 10.1007/978-3-540-74839-7_12
Empirical analysis of predictive algorithms for collaborative filtering, Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, UAI'98, pp.43-52, 1998. ,
Hybrid recommender systems : Survey and experiments, User Modeling and User-Adapted Interaction, vol.12, issue.4, pp.331-370, 2002. ,
DOI : 10.1023/A:1021240730564
Collaborative filtering with privacy, Proceedings 2002 IEEE Symposium on Security and Privacy, pp.45-57, 2002. ,
DOI : 10.1109/SECPRI.2002.1004361
Semi-supervised learning, 2006. ,
DOI : 10.7551/mitpress/9780262033589.001.0001
Exploiting longer cycles for link prediction in signed networks, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1157-1162, 2011. ,
DOI : 10.1145/2063576.2063742
Finding community structure in very large networks, Physical Review E, vol.70, issue.6, p.66111, 2004. ,
DOI : 10.1103/PhysRevE.70.066111
Feedback effects between similarity and social influence in online communities, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.160-168, 2008. ,
DOI : 10.1145/1401890.1401914
Performance of recommender algorithms on top-n recommendation tasks, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.39-46, 2010. ,
DOI : 10.1145/1864708.1864721
Clustering and structural balance in graphs, Social networks . A developing paradigm, pp.27-34, 1977. ,
Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.41391-407, 1990. ,
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
Socially Enabled Preference Learning from Implicit Feedback Data, Machine Learning and Knowledge Discovery in Databases, pp.145-160, 2013. ,
DOI : 10.1007/978-3-642-40991-2_10
The Yahoo ! Music Dataset and KDD-Cup'11, Conference Proceedings, pp.3-18, 2012. ,
The approximation of one matrix by another of lower rank, Psychometrika, vol.1, issue.3, pp.211-218, 1936. ,
DOI : 10.1007/BF02288367
Community detection in graphs, Physics Reports, vol.486, issue.3-5, pp.75-174, 2010. ,
DOI : 10.1016/j.physrep.2009.11.002
Netflix Update : Try this at Home, 2006. ,
Filtrage collaboratif et intégration de la polarité des jugements, CORIA-CIFED 2014, 2014. ,
Leveraging Rating Behavior to Predict Negative Social Ties, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, ASONAM '15, 2015. ,
DOI : 10.1145/2808797.2809402
URL : https://hal.archives-ouvertes.fr/hal-01358683
Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux, 2015. ,
Community structure in social and biological networks, Proceedings of the National Academy of Sciences, pp.997821-7826, 2002. ,
DOI : 10.1073/pnas.122653799
Using collaborative filtering to weave an information tapestry, Communications of the ACM, vol.35, issue.12, pp.3561-70, 1992. ,
DOI : 10.1145/138859.138867
Singular value decomposition and least squares solutions, Numerische Mathematik, vol.11, issue.5, pp.403-420, 1970. ,
DOI : 10.1007/BF02163027
Propagation of trust and distrust, Proceedings of the 13th conference on World Wide Web , WWW '04, pp.403-412, 2004. ,
DOI : 10.1145/988672.988727
On the notion of balance of a signed graph., The Michigan Mathematical Journal, vol.2, issue.2, pp.143-146, 1953. ,
DOI : 10.1307/mmj/1028989917
On local balance and $N$-balance in signed graphs., The Michigan Mathematical Journal, vol.3, issue.1, pp.37-41, 1955. ,
DOI : 10.1307/mmj/1031710532
Attitudes and Cognitive Organization, The Journal of Psychology, vol.21, issue.1, pp.107-112, 1946. ,
DOI : 10.1037/h0055425
The Eigentrust algorithm for reputation management in P2P networks, Proceedings of the twelfth international conference on World Wide Web , WWW '03, p.640, 2003. ,
DOI : 10.1145/775152.775242
A parameterized probabilistic model of network evolution for supervised link prediction, Data Mining, 2006. ICDM'06. Sixth International Conference on, pp.340-349, 2006. ,
The PageTrust algorithm: How to rank web pages when negative links are allowed?, the SIAM International Conference on Data Mining, pp.346-352, 2008. ,
DOI : 10.1137/1.9781611972788.31
Yahoo! music recommendations, Proceedings of the fifth ACM conference on Recommender systems, RecSys '11, pp.165-172, 2011. ,
DOI : 10.1145/2043932.2043964
Factorization meets the neighborhood, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.426-434, 2008. ,
DOI : 10.1145/1401890.1401944
Advances in collaborative filtering, Recommender Systems Handbook, pp.145-186, 2011. ,
Matrix Factorization Techniques for Recommender Systems, Computer, vol.42, issue.8, pp.4230-4267, 2009. ,
DOI : 10.1109/MC.2009.263
Lifestyle finder : Intelligent user profiling using largescale demographic data, pp.37-45, 1997. ,
Learning spectral graph transformations for link prediction, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.561-568, 2009. ,
DOI : 10.1145/1553374.1553447
The slashdot zoo, Proceedings of the 18th international conference on World wide web, WWW '09, pp.741-750, 2009. ,
DOI : 10.1145/1526709.1526809
What is the added value of negative links in online social networks?, Proceedings of the 22nd international conference on World Wide Web, WWW '13, 2013. ,
DOI : 10.1145/2488388.2488452
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization, Proc. SIAM Int. Conf. on Data Mining, pp.559-570, 2010. ,
DOI : 10.1137/1.9781611972801.49
NewsWeeder: Learning to Filter Netnews, Proceedings of the 12th International Machine Learning Conference, 1995. ,
DOI : 10.1016/B978-1-55860-377-6.50048-7
Does Wikipedia Information Help Netflix Predictions?, 2008 Seventh International Conference on Machine Learning and Applications, pp.337-343, 2008. ,
DOI : 10.1109/ICMLA.2008.121
Planetary-scale views on a large instant-messaging network, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.915-924, 2008. ,
DOI : 10.1145/1367497.1367620
Predicting positive and negative links in online social networks, Proceedings of the 19th international conference on World wide web, WWW '10, pp.641-650, 2010. ,
DOI : 10.1145/1772690.1772756
Signed networks in social media, Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pp.1361-1370, 2010. ,
DOI : 10.1145/1753326.1753532
The link-prediction problem for social networks, Journal of the American Society for Information Science and Technology, vol.393, issue.7, pp.1019-1031, 2007. ,
DOI : 10.1002/asi.20591
Learning to recommend with trust and distrust relationships, Proceedings of the third ACM conference on Recommender systems, RecSys '09, pp.189-196, 2009. ,
DOI : 10.1145/1639714.1639746
Trust-aware bootstrapping of recommender systems, ECAI 2006 Workshop on Recommender Systems, pp.29-33, 2006. ,
A comparison of event models for Naive Bayes text classification, AAAI Workshop on Learning for Text Cate- gorization, 1998. ,
The small world problem, Psychology today, vol.2, issue.1, pp.60-67, 1967. ,
DOI : 10.1037/e400002009-005
A brief history of lognormal and power law distributions, Proceedings of the Allerton Conference of Coomunication, Control, and Computing, pp.182-191, 2001. ,
Clustering and preferential attachment in growing networks, Physical Review E, vol.64, issue.2, p.25102, 2001. ,
DOI : 10.1103/PhysRevE.64.025102
Fast algorithm for detecting community structure in networks, Physical Review E, vol.69, issue.6, p.66133, 2004. ,
DOI : 10.1103/PhysRevE.69.066133
A measure of betweenness centrality based on random walks, Social Networks, vol.27, issue.1, pp.39-54, 2005. ,
DOI : 10.1016/j.socnet.2004.11.009
Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26113, 2004. ,
DOI : 10.1103/PhysRevE.69.026113
Implicit feedback for recommender systems, Proceedings of the AAAI workshop on recommender systems, pp.81-83, 1998. ,
The pagerank citation ranking : Bringing order to the web, 1999. ,
Improving regularized singular value decomposition for collaborative filtering, Proceedings of KDD cup and workshop, pp.5-8, 2007. ,
A framework for collaborative, content-based and demographic filtering, Artif. Intell. Rev, vol.13, pp.5-6393, 1999. ,
Statistical relational learning for link prediction, IJCAI workshop on learning statistical models from relational data, 2003. ,
Ranking with non-random missing ratings, Proceedings of the sixth ACM conference on Recommender systems, RecSys '12, 2012. ,
DOI : 10.1145/2365952.2365982
GroupLens, Proceedings of the 1994 ACM conference on Computer supported cooperative work , CSCW '94, pp.175-186, 1994. ,
DOI : 10.1145/192844.192905
Recommender Systems Handbook, 2010. ,
Trust Management for the Semantic Web, The Semantic Web-ISWC 2003, pp.351-368, 2003. ,
DOI : 10.1007/978-3-540-39718-2_23
Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.791-798, 2007. ,
DOI : 10.1145/1273496.1273596
Automatic Text Processing : The Transformation, Analysis, and Retrieval of Information by Computer, 1989. ,
Introduction to Modern Information Retrieval, 1986. ,
Application of dimensionality reduction in recommender system ? a case study, IN ACM WEBKDD WORKSHOP, 2000. ,
Collaborative Filtering Recommender Systems, The adaptive web, pp.291-324, 2007. ,
DOI : 10.1007/978-3-540-72079-9_9
E-Commerce Recommendation Applications, Data Min. Knowl. Discov, vol.5, issue.12, pp.115-153, 2001. ,
DOI : 10.1007/978-1-4615-1627-9_6
Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002. ,
DOI : 10.1145/505282.505283
Transitive node similarity for link prediction in social networks with positive and negative links, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.183-190, 2010. ,
DOI : 10.1145/1864708.1864744
Negative Link Prediction in Social Media, Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM '15, pp.87-96, 2015. ,
DOI : 10.1145/2684822.2685295
Link prediction in relational data, Advances in neural information processing systems, p.page None, 2003. ,
Trust and distrustbased recommendations, Trust Networks for Recommender Systems, pp.109-153, 2011. ,
Social network analysis : Methods and applications, 1994. ,
DOI : 10.1017/CBO9780511815478
Efficient multicore collaborative filtering, ACM KDD CUP workshop, 2011. ,
An Information Flow Model for Conflict and Fission in Small Groups, Journal of Anthropological Research, vol.33, issue.4, pp.452-473, 1977. ,
DOI : 10.1086/jar.33.4.3629752
Learning with local and global consistency, Advances in Neural Information Processing Systems 16, 2004. ,
Large-Scale Parallel Collaborative Filtering for the Netflix Prize, Proc. 4th Int'l Conf. Algorithmic Aspects in Information and Management, pp.337-348, 2008. ,
DOI : 10.1007/978-3-540-68880-8_32
Semi-supervised learning literature survey, 2005. ,
Learning from labeled and unlabeled data with label propagation, 2002. ,