A Dynamic Local–Global Trust-aware Recommendation approach

作者：

Highlights：

• A new hybrid model of local and global trust for recommender systems.

• Local and global trust models are dynamically integrated based on their reliability.

• An incremental method is used to efficiently update the trust network.

• The quality of predictions and recommendations is improved.

• The execution time of the proposed approach is stable over time.

摘要

•A new hybrid model of local and global trust for recommender systems.•Local and global trust models are dynamically integrated based on their reliability.•An incremental method is used to efficiently update the trust network.•The quality of predictions and recommendations is improved.•The execution time of the proposed approach is stable over time.

论文关键词：Recommender systems,Collaborative filtering,Trust,Reputation,Incremental update

论文评审过程：Received 12 March 2018, Revised 28 December 2018, Accepted 25 February 2019, Available online 26 February 2019, Version of Record 6 March 2019.

论文官网地址：https://doi.org/10.1016/j.elerap.2019.100838