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

(9:43)

RecSys 2016: Tutorial on Group Recommender Systems

(1:25:25)

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

(18:51)

RecSys 2016: Paper Session 7 - Recommender Systems With Personality

(15:12)

RecSys 2016 Opening Remarks

(24:13)

RecSys 2016: Paper Session 3 - Fifty Shades of Ratings: How to Benefit from a Negative Feedback

(20:46)

RecSys 2016 - People Recommendation Tutorial

(1:38:13)

RecSys 2016: Paper Session1 - Recommender Systems Self Actualization

(14:5)

Workshop on Recommender Systems in Fashion and Retail

(5:51:40)

RecSys 2016: Tutorial on Lessons Learned from Building Real-life Recommender Systems

(1:41:25)

RecSys 2016 - Matrix and Tensor Decomposition in Recommender Systems

(1:32:47)

Tutorial 3A Hands on Explainable Recommender Systems with Knowledge Graphs

(2:58:4)

RAC Rally of the Tests - 2016

(48:13)

RecSys 2020 Tutorial: Conversational Recommender Systems

(1:29:21)

RecSys 2016: Tutorial on Matrix and Tensor Decomposition

(1:32:47)

RecSys 2016: Paper Session 6 - Deep Neural Networks for YouTube Recommendations

(19:1econd)

Multi-Modal Recommender Systems: Hands-On Exploration

(3:33:51)

RecSys 2021 Keynote: Graph Neural Networks for Knowledge Representation and Recommendation

(44:24)

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

(12:35)

RecSys 2016: Paper Session 7 - Past, Present, \u0026 Future of Recommender Systems: Industry Perspective

(16:11)

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

(11:11)

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

(19:53)

RecSys 2016: Paper Session 9 - Discovering What You're Known For

(20:45)

RecSys 2016: Paper Session 9 - Modelling Contextual Information in Session-Aware Recommender Systems

(10:54)

RecSys 2016: Paper Session 9 - Are You Influenced by Others When Rating?: Improve Rating Prediction

(9:48)

RecSys 2016 - Tutorial: Lessons Learned from Building Real-life Recommender Systems

(1:41:25)

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

(16:46)

RecSys 2016: Paper Session 6 - Optimizing Similar Item Recommendations

(10:24)

RecSys 2016: Keynote - Personalization for Google Now

(1:2:26)