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

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

RecSys 2016: Paper Session1 - Recommender Systems Self ActualizationПодробнее

RecSys 2016: Paper Session1 - Recommender Systems Self Actualization

Online Evaluation Methods for the Causal Effect of RecommendationsПодробнее

Online Evaluation Methods for the Causal Effect of Recommendations

RecSys 2016: Tutorial on Group Recommender SystemsПодробнее

RecSys 2016: Tutorial on Group Recommender Systems

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

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

Tutorial 3C Offline Evaluation for Group Recommender SystemsПодробнее

Tutorial 3C Offline Evaluation for Group Recommender Systems

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

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

RecSys 2016: Paper Session 7 - Behaviorism is Not Enough: Better RecommendationsПодробнее

RecSys 2016: Paper Session 7 - Behaviorism is Not Enough: Better Recommendations

RecSys 2016: Paper Session 6 - Optimizing Similar Item RecommendationsПодробнее

RecSys 2016: Paper Session 6 - Optimizing Similar Item Recommendations

RecSys 2016: Paper Session 8 - Convolutional Matrix Factorization for Context-Aware RecommendationПодробнее

RecSys 2016: Paper Session 8 - Convolutional Matrix Factorization for Context-Aware Recommendation

RecSys 2016: Paper Session 6 - Domain-Aware Grade Prediction and Top-n Course RecommendationПодробнее

RecSys 2016: Paper Session 6 - Domain-Aware Grade Prediction and Top-n Course Recommendation

RecSys 2016: Paper Session 3 - Accuracy and Diversity in Cross-domain RecommendationsПодробнее

RecSys 2016: Paper Session 3 - Accuracy and Diversity in Cross-domain Recommendations

PS 6: Unbiased offline recommender evaluation for missing-not-at-random implicit feedbackПодробнее

PS 6: Unbiased offline recommender evaluation for missing-not-at-random implicit feedback

RecSys 2016: Paper Session 3 - Addressing Cold Start for Next-song RecommendationПодробнее

RecSys 2016: Paper Session 3 - Addressing Cold Start for Next-song Recommendation

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

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

Offline Recommender System Evaluation under Unobserved Confounding (CONSEQUENCES '23)Подробнее

Offline Recommender System Evaluation under Unobserved Confounding (CONSEQUENCES '23)

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

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

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