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Yiannis Gkoufas | Ernesto Diaz-Aviles | Stefano Braghin | Francesco Calabrese | Michele Berlingerio | Fabio Pinelli | Hoang Thanh Lam | Ernesto Diaz-Aviles | M. Berlingerio | S. Braghin | Yiannis Gkoufas | Fabio Pinelli | Francesco Calabrese
[1] Suhrid Balakrishnan,et al. Collaborative ranking , 2012, WSDM '12.
[2] Matthew Michelson,et al. Tweet Disambiguate Entities Retrieve Folksonomy SubTree Step 1 : Discover Categories Generate Topic Profile from SubTrees Step 2 : Discover Profile Topic Profile : “ English Football ” “ World Cup ” , 2011 .
[3] Steffen Rendle,et al. Factorization Machines with libFM , 2012, TIST.
[4] Qiang Wu,et al. Learning to Rank Using an Ensemble of Lambda-Gradient Models , 2010, Yahoo! Learning to Rank Challenge.
[5] Yi Chang,et al. Yahoo! Learning to Rank Challenge Overview , 2010, Yahoo! Learning to Rank Challenge.
[6] Toon De Pessemier,et al. MovieTweetings: a movie rating dataset collected from twitter , 2013, RecSys 2013.
[7] Lars Schmidt-Thieme,et al. Real-time top-n recommendation in social streams , 2012, RecSys.
[8] Christopher J. C. Burges,et al. From RankNet to LambdaRank to LambdaMART: An Overview , 2010 .
[9] Gediminas Adomavicius,et al. Context-aware recommender systems , 2008, RecSys '08.
[10] Maksims Volkovs,et al. Collaborative Ranking With 17 Parameters , 2012, NIPS.
[11] Simon Dooms,et al. Recommender systems challenge 2014 , 2014, RecSys '14.
[12] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[13] Tie-Yan Liu,et al. Learning to rank for information retrieval , 2009, SIGIR.
[14] Avare Stewart,et al. Epidemic Intelligence for the Crowd, by the Crowd , 2012, ICWSM.
[15] Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010 , 2011, Yahoo! Learning to Rank Challenge.
[16] Katrien Verbert,et al. Recommender systems challenge 2012 , 2012, RecSys '12.
[17] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[18] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[19] Mihai Georgescu,et al. Swarming to rank for recommender systems , 2012, RecSys.
[20] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[21] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[22] J. Friedman. Stochastic gradient boosting , 2002 .
[23] Nicola Henze,et al. Analyzing the Blogosphere for Predicting the Success of Music and Movie Products , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.
[24] Tie-Yan Liu,et al. Learning to Rank for Information Retrieval , 2011 .
[25] Nuria Oliver,et al. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering , 2010, RecSys '10.