Joint interaction with context operation for collaborative filtering

作者：

Highlights：

• A new model for collaborative filtering in context-aware recommendation, integrating joint interaction model with contextual operating tensor.

• One layer to capture user/item interactions via a tensor and another layer to capture contextual information via another tensor.

• Extensive experiments on four datasets and novel studies on varying contextual influence and time split recommendation.

摘要

•A new model for collaborative filtering in context-aware recommendation, integrating joint interaction model with contextual operating tensor.•One layer to capture user/item interactions via a tensor and another layer to capture contextual information via another tensor.•Extensive experiments on four datasets and novel studies on varying contextual influence and time split recommendation.

论文关键词：Recommender system,Collaborative filtering,Matrix factorization,Context aware,Joint interaction,Tensor

论文评审过程：Received 3 April 2018, Revised 16 October 2018, Accepted 6 December 2018, Available online 12 December 2018, Version of Record 26 December 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.12.003