An interpretable sequential three-way recommendation based on collaborative topic regression

作者：

Highlights：

• PMF-based and LDA-based granulation methods are designed to obtain granular features.

• A CTR-based granulation method is proposed to conduct interpretable granulation.

• A CTR-based cost-sensitive sequential three-way recommendation strategy is conducted.

摘要

•PMF-based and LDA-based granulation methods are designed to obtain granular features.•A CTR-based granulation method is proposed to conduct interpretable granulation.•A CTR-based cost-sensitive sequential three-way recommendation strategy is conducted.

论文关键词：Granular computing,Sequential three-way decisions,Cost-sensitive learning,Recommendation systems,Multilevel recommendation information

论文评审过程：Received 21 February 2020, Revised 3 December 2020, Accepted 3 December 2020, Available online 8 December 2020, Version of Record 9 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114454