Graph-based context-aware collaborative filtering

作者：

Highlights：

• Graph models can be effectively used for context-aware recommender systems.

• Exploiting all contextual segments is possible with the proposed graph model.

• Combining graph-based similarity with k-NN improves recommendations.

• Proposed graph-based similarity measure reduces the negative effect of sparse data.

摘要

•Graph models can be effectively used for context-aware recommender systems.•Exploiting all contextual segments is possible with the proposed graph model.•Combining graph-based similarity with k-NN improves recommendations.•Proposed graph-based similarity measure reduces the negative effect of sparse data.

论文关键词：Context-aware recommender systems,Context-aware collaborative filtering,Item splitting,Graph-based models

论文评审过程：Received 11 September 2018, Revised 9 February 2019, Accepted 10 February 2019, Available online 11 February 2019, Version of Record 15 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.015