MLSS Sydney, February 18, 2015 – Machine Learning for Recommender Systems
Recent Publications
SIGIR 2014: Gaussian Process Factorization Machines for Context-aware Recommendation
RecSys 2014: Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems
RecSys 2014: Question Recommendation for Collaborative Question Answering Systems with RankSLDA
CIKM 2013: GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains
RecSys 2013: xCLiMF: Optimizing Expected Reciprocal Rank for Data with Multiple Levels of Relevance
ECML/PKDD 2013: Socially Enabled Preference Learning from Implicit Feedback Data
CIKM 2012: Climbing the App Wall: Enabling Mobile App Discovery through Context-Aware Recommendations
RecSys 2012: CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering * Best Paper Award
SIGIR 2012: TFMAP: Optimizing MAP for Top-N Context-aware Recommendation
RecSys 2011: Collaborative Temporal Order Modeling
RecSys 2011: Implicit Feedback Recommendation via Implicit-to-Explicit Ordinal Logistic Regression Mapping
RecSys 2010: Multiverse Recommendation: N-dimensional Tensor Factorization for Context-Aware Collaborative Filtering
EC-Web 2010: Quantile Matrix Factorization for Collaborative Filtering
AISTATS 2010: Collaborative Filtering on a Budget
RecSys 2009: Maximum Margin Code Recommendation
RecSys 2008: Adaptive Collaborative Filtering
Machine Learning Journal, 2008: Improving Maximum Margin Matrix Factorization * Best Machine Learning Paper Award at ECML PKDD 2008
NIPS 2007: CoFiRank - Maximum Margin Matrix Factorization for Collaborative Ranking
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