recsys38

recsys 2019 论文列表

Proceedings of the Workshop on ACM Recommender Systems Challenge, Copenhagen, Denmark, September 2019.

A pipelined hybrid recommender system for ranking the items on the display.
Accelerating recommender system training 15x with RAPIDS.
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank.
An attentive RNN model for session-based and context-aware recommendations: a solution to the RecSys challenge 2019.
Learning to rank hotels for search and recommendation from session-based interaction logs and meta data.
A-HA: a hybrid approach for hotel recommendation.
Session-based item recommendation with pairwise features.
Robust contextual models for in-session personalization.
Boosting algorithms for a session-based, context-aware recommender system in an online travel domain.