recsys 2017 论文列表Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017. |
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios.
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation.
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs.
Recurrent Latent Variable Networks for Session-Based Recommendation.
A Deep Multimodal Approach for Cold-start Music Recommendation.
Inter-Session Modeling for Session-Based Recommendation.
Towards Recommender Systems for Police Photo Lineup.
Specializing Joint Representations for the task of Product Recommendation.
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks.
Keynote: Bayesian Deep Learning Models for Recommendation Applications.