Credibility score based multi-criteria recommender system
作者：
Highlights：
• A multi-criteria recommender system based on credibility of an item is proposed.
• Personal and public views are computed to achieve more accurate prediction.
• GA is used to discover the relationship between each criterion.
• Aggregate the credibility score on various criteria to find overall credibility of an item.
摘要
•A multi-criteria recommender system based on credibility of an item is proposed.•Personal and public views are computed to achieve more accurate prediction.•GA is used to discover the relationship between each criterion.•Aggregate the credibility score on various criteria to find overall credibility of an item.
论文关键词：Credibility,Collaborative filtering,Genetic algorithm,Multi-criteria ratings,Recommender system
论文评审过程：Received 24 April 2019, Revised 9 February 2020, Accepted 8 March 2020, Available online 10 March 2020, Version of Record 16 April 2020.
论文官网地址：https://doi.org/10.1016/j.knosys.2020.105756
