Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system
作者：
Highlights：
• Preference Relation based Matrix Factorization is used for Collaborative Filtering.
• User and Item feature information is co-factorized in the model.
• Graph aggregation with collective rationality is used for preference aggregation.
• Standard ranking measures were used for evaluating the group recommendation model.
摘要
•Preference Relation based Matrix Factorization is used for Collaborative Filtering.•User and Item feature information is co-factorized in the model.•Graph aggregation with collective rationality is used for preference aggregation.•Standard ranking measures were used for evaluating the group recommendation model.
论文关键词：Preference relation,Group recommendation,Collaborative filtering,Graph aggregation
论文评审过程：Received 28 February 2020, Revised 3 April 2020, Accepted 20 April 2020, Available online 27 April 2020, Version of Record 6 May 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113476
