Multi-criteria recommender system based on social relationships and criteria preferences

作者：

Highlights：

• Trust propagation and implicit influences are considered to improve criteria predictions.

• Implicit social relationships are inferred to expand applications of social recommendations.

• An efficient clustering process is adopted to enhance the overall predictions.

• Experimental results on TripAdvisor data sets show advantages of proposed methods.

摘要

•Trust propagation and implicit influences are considered to improve criteria predictions.•Implicit social relationships are inferred to expand applications of social recommendations.•An efficient clustering process is adopted to enhance the overall predictions.•Experimental results on TripAdvisor data sets show advantages of proposed methods.

论文关键词：Multi-criteria,Recommender systems,Collaborative filtering,Criteria preferences,Social relationships

论文评审过程：Received 23 February 2020, Revised 5 August 2020, Accepted 4 March 2021, Available online 13 March 2021, Version of Record 31 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114868