18:03RecSys 2016: Paper Session 8 - Convolutional Matrix Factorization for Context-Aware RecommendationACM RecSys698 viewsView & Download
32:46How does Netflix recommend movies? Matrix FactorizationLuis Serrano Academy395.1K viewsView & Download
15:46RecSys 2016: Paper Session 9 - The Contextual Turn: from Context-Aware to Context-DrivenACM RecSys271 viewsView & Download
10:54RecSys 2016: Paper Session 9 - Modelling Contextual Information in Session-Aware Recommender SystemsACM RecSys594 viewsView & Download
17:30RecSys 2016: Paper Session 6 - Domain-Aware Grade Prediction and Top-n Course RecommendationACM RecSys333 viewsView & Download
19:13RecSys 2016 - Meta-Prod2Vec: Product Embeddings Using Side-Information for RecommendationChirayu Wongchokprasitti437 viewsView & Download
1:41:25RecSys 2016 - Tutorial: Lessons Learned from Building Real-life Recommender SystemsChirayu Wongchokprasitti169 viewsView & Download
20:45RecSys 2016: Paper Session 2 - Factorization Meets Item EmbeddingACM RecSys2.3K viewsView & Download
19:39RecSys 2016: Paper Session 3 - Latent Factor Representations for Cold-Start Video RecommendationACM RecSys617 viewsView & Download
1:32:47RecSys 2016 - Matrix and Tensor Decomposition in Recommender SystemsChirayu Wongchokprasitti1.1K viewsView & Download
11:04Paper Session 5: Collective Embedding for Neural Context-Aware Recommender Systems - Soares da CostaACM RecSys166 viewsView & Download
19:09RecSys 2016: Paper Session 1 - A Coverage-Based Approach to RecommendationACM RecSys620 viewsView & Download