A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion
暂无分享,去创建一个
[1] Edward Y. Chang,et al. Collaborative filtering for orkut communities: discovery of user latent behavior , 2009, WWW '09.
[2] Chao Liu,et al. Recommender systems with social regularization , 2011, WSDM '11.
[3] Hong Joo Lee,et al. Use of social network information to enhance collaborative filtering performance , 2010, Expert Syst. Appl..
[4] Ioannis Konstas,et al. On social networks and collaborative recommendation , 2009, SIGIR.
[5] Jure Leskovec,et al. Supervised random walks: predicting and recommending links in social networks , 2010, WSDM '11.
[6] Patrick Seemann,et al. Matrix Factorization Techniques for Recommender Systems , 2014 .
[7] Mehran Sahami,et al. Evaluating similarity measures: a large-scale study in the orkut social network , 2005, KDD '05.
[8] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[9] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[10] Geoffrey J. Gordon,et al. Relational learning via collective matrix factorization , 2008, KDD.
[11] Michael R. Lyu,et al. SoRec: social recommendation using probabilistic matrix factorization , 2008, CIKM '08.
[12] Martin Ester,et al. A generalized stochastic block model for recommendation in social rating networks , 2011, RecSys '11.
[13] Ido Guy,et al. Do you know?: recommending people to invite into your social network , 2009, IUI.
[14] Antonino Nocera,et al. Recommendation of similar users, resources and social networks in a Social Internetworking Scenario , 2011, Inf. Sci..
[15] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[16] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[17] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[18] Nathan Srebro,et al. Fast maximum margin matrix factorization for collaborative prediction , 2005, ICML.
[19] Edward Y. Chang,et al. Combinational collaborative filtering for personalized community recommendation , 2008, KDD.
[20] Alejandro Bellogín,et al. Precision-oriented evaluation of recommender systems: an algorithmic comparison , 2011, RecSys '11.
[21] Yifan Hu,et al. Collaborative Filtering for Implicit Feedback Datasets , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[22] Georg Groh,et al. Recommendations in taste related domains: collaborative filtering vs. social filtering , 2007, GROUP.
[23] Alexander J. Smola,et al. Like like alike: joint friendship and interest propagation in social networks , 2011, WWW.
[24] Martin Ester,et al. A matrix factorization technique with trust propagation for recommendation in social networks , 2010, RecSys '10.
[25] Wei-Ying Ma,et al. Recommending friends and locations based on individual location history , 2011, ACM Trans. Web.
[26] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[27] Jun Guo,et al. SFViz: interest-based friends exploration and recommendation in social networks , 2011, VINCI '11.
[28] Alfred Kobsa,et al. The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.
[29] Panagiotis Symeonidis,et al. Transitive node similarity for link prediction in social networks with positive and negative links , 2010, RecSys '10.
[30] Daniele Quercia,et al. FriendSensing: recommending friends using mobile phones , 2009, RecSys '09.
[31] Nagarajan Natarajan,et al. Affiliation recommendation using auxiliary networks , 2010, RecSys '10.
[32] Li Chen,et al. Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship , 2012, Recommender Systems for the Social Web.
[33] Francesco Ricci,et al. Group recommendations with rank aggregation and collaborative filtering , 2010, RecSys '10.
[34] Sangkeun Lee,et al. Exploiting various implicit feedback for collaborative filtering , 2012, WWW.
[35] François Fouss,et al. Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation , 2007, IEEE Transactions on Knowledge and Data Engineering.
[36] Li Chen,et al. Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation , 2011, RecSys '11.
[37] Martin Ester,et al. TrustWalker: a random walk model for combining trust-based and item-based recommendation , 2009, KDD.
[38] John Riedl,et al. Introduction to special issue on recommender systems , 2011, ACM Trans. Web.
[39] Yen-Liang Chen,et al. A group recommendation system with consideration of interactions among group members , 2008, Expert Syst. Appl..
[40] Michael J. Muller,et al. Make new friends, but keep the old: recommending people on social networking sites , 2009, CHI.
[41] Guy Shani,et al. Evaluating Recommendation Systems , 2011, Recommender Systems Handbook.