RecSys 2016: Tutorial on Group Recommender Systems

(1:25:25)

RecSys 2016: Tutorial on People Recommendation

(1:38:13)

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

(1:41:25)

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

(9:21)

RecSys 2016 Opening Remarks

(24:13)

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

(9:43)

RecSys 2016: Paper Session 6 - Optimizing Similar Item Recommendations

(10:24)

RecSys 2016: Paper Session1 - Recommender Systems Self Actualization

(14:5)

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

(10:54)

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

(19:53)

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

(19:9)

RecSys 2016: Keynote - Personalization for Google Now

(1:2:26)

RecSys 2016: Paper Session 1 - Adaptive, Personalized Diversity for Visual Discovery

(9:39)

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

(11:2)

RecSys 2016: Paper Session 2 - Local Item Item Models For Top-N Recommendation

(20:14)

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

(22:6)

RecSys 2016: Paper Session 8 - Parallel Recurrent Neural Network Architectures for Recommendations

(21:4)