A compositional model of multi-faceted trust for personalized item recommendation

作者：

Highlights：

• We propose a compositional recommender system based on multi-faceted trust.

• The trust model is based on social links and global feedback about users.

• The recommender can work with or without using information about social relations.

• We validate our recommendation model on two public datasets of item reviews.

• Our recommender outperforms state-of-the-art trust-based recommender systems.

摘要

•We propose a compositional recommender system based on multi-faceted trust.•The trust model is based on social links and global feedback about users.•The recommender can work with or without using information about social relations.•We validate our recommendation model on two public datasets of item reviews.•Our recommender outperforms state-of-the-art trust-based recommender systems.

论文关键词：Multi-faceted trust,Trust-based recommender systems,Compositional trust model,Matrix factorization

论文评审过程：Received 6 June 2019, Revised 23 July 2019, Accepted 16 August 2019, Available online 27 August 2019, Version of Record 2 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112880