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RecSys 2016: Tutorial on Matrix and Tensor Decomposition
RecSys 2016: Paper Session 2 - Local Item Item Models For Top-N Recommendation
RecSys 2016: Paper Session 2 - Learning Hierarchical Feature Influence for Recommendation
RecSys 2016: Paper Session 3 - Latent Factor Representations for Cold-Start Video Recommendation
RecSys 2016: Paper Session 4 - Pairwise Preferences Based Matrix Factorization
RecSys 2016: Paper Session 11 - Efficient Bayesian Methods for Graph-based Recommendation
RecSys 2016: Paper Session 3 - Joint User Modeling across Aligned Heterogeneous Sites
RecSys 2016: Tutorial on Group Recommender Systems
RecSys 2016 Opening Remarks
Probabilistic Sequential Matrix Factorization - Omer Deniz Akyildiz
RecSys 2016: Paper Session 6 - Domain-Aware Grade Prediction and Top-n Course Recommendation
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Last Updated: August 17, 2026
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