RecSys 2016: Paper Session 11 - Efficient Bayesian Methods for Graph-based Recommendation

RecSys 2016: Paper Session 11 - Efficient Bayesian Methods for Graph-based Recommendation

RecSys 2016: Paper Session 5 - Mechanism Design for Personalized Recommender SystemsПодробнее

RecSys 2016: Paper Session 5 - Mechanism Design for Personalized Recommender Systems

RecSys 2016: Paper Session 11 - Personalized Recommendations using Knowledge GraphsПодробнее

RecSys 2016: Paper Session 11 - Personalized Recommendations using Knowledge Graphs

RecSys 2016: Paper Session 11 - Bayesian Personalized Ranking with Multi-Channel User FeedbackПодробнее

RecSys 2016: Paper Session 11 - Bayesian Personalized Ranking with Multi-Channel User Feedback

RecSys 2020 Tutorial: Bayesian Value Based RecommendationПодробнее

RecSys 2020 Tutorial: Bayesian Value Based Recommendation

Online Evaluation Methods for the Causal Effect of RecommendationsПодробнее

Online Evaluation Methods for the Causal Effect of Recommendations

RecSys 2016: Paper Session 11 - Using Navigation to Improve Recommendations in Real-TimeПодробнее

RecSys 2016: Paper Session 11 - Using Navigation to Improve Recommendations in Real-Time

RecSys 2016: Paper Session 6 - Optimizing Similar Item RecommendationsПодробнее

RecSys 2016: Paper Session 6 - Optimizing Similar Item Recommendations

RecSys 2016: Paper Session 4 - ExpLOD: A Framework for Explaining RecommendationsПодробнее

RecSys 2016: Paper Session 4 - ExpLOD: A Framework for Explaining Recommendations

Next-item Recommendations in Short SessionsПодробнее

Next-item Recommendations in Short Sessions

RecSys 2016: Paper Session 9 - TAPER: A Contextual Tensor-Based ApproachПодробнее

RecSys 2016: Paper Session 9 - TAPER: A Contextual Tensor-Based Approach

RecSys 2016: Paper Session 3 - Latent Factor Representations for Cold-Start Video RecommendationПодробнее

RecSys 2016: Paper Session 3 - Latent Factor Representations for Cold-Start Video Recommendation

RecSys 2016: Paper Session 1 - A Coverage-Based Approach to RecommendationПодробнее

RecSys 2016: Paper Session 1 - A Coverage-Based Approach to Recommendation

RecSys 2016: Paper Session 9 - MAPS: A Multi Aspect Personalized POI Recommender SystemПодробнее

RecSys 2016: Paper Session 9 - MAPS: A Multi Aspect Personalized POI Recommender System

RecSys 2016: Paper Session 4 - Human-Recommender Systems: From Benchmark Data to BenchmarkПодробнее

RecSys 2016: Paper Session 4 - Human-Recommender Systems: From Benchmark Data to Benchmark

RecSys 2016: Paper Session 1 - Contrasting Offline and Online Results when Evaluating RecommendationПодробнее

RecSys 2016: Paper Session 1 - Contrasting Offline and Online Results when Evaluating Recommendation