RecSys 2016: Paper Session 4 - HCI for Recommender Systems: the Past, the Present and the Future

RecSys 2016: Paper Session 4 - Pairwise Preferences Based Matrix FactorizationПодробнее

RecSys 2016: Paper Session 7 - Past, Present, & Future of Recommender Systems: Industry PerspectiveПодробнее

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

RecSys 2016: Paper Session 4 - Gaze Prediction for Recommender SystemsПодробнее

RecSys 2016: Paper Session 7 - Recommender Systems With PersonalityПодробнее

RecSys 2016: Tutorial on Group Recommender SystemsПодробнее

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

RecSys 2016: Paper Session 1 - A Scalable Approach for Periodical Personalized RecommendationsПодробнее

RecSys 2016: Paper Session 4 - Observing Group Decision Making ProcessesПодробнее

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

RecSys 2016: Paper Session1 - Recommender Systems Self ActualizationПодробнее

Paper Session 2: Multistakeholder recommendation with provider constraints Ozge SurerПодробнее

RecSys 2016: Paper Session 4 - Exploring the Value of Personality in Predicting Rating BehaviorsПодробнее

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

Deep Recommender Systems - Gabriel Moreira (CI&T)Подробнее