Fuzzy Group Decision Making for influence-aware recommendations
作者：
Highlights：
• Group recommender systems suggest items to be consumed by groups of users.
• Individual preferences of any group member must be taken into account.
• Considering social influence between group members leads to better recommendations.
• Influence strength can be estimated from information retrieved in social networks.
• Fuzzy decision making allows the influence-based aggregation of individual preferences.
摘要
•Group recommender systems suggest items to be consumed by groups of users.•Individual preferences of any group member must be taken into account.•Considering social influence between group members leads to better recommendations.•Influence strength can be estimated from information retrieved in social networks.•Fuzzy decision making allows the influence-based aggregation of individual preferences.
论文关键词：Recommender systems,Group Decision Making,Social influence
论文评审过程：Received 1 February 2018, Revised 3 September 2018, Accepted 1 November 2018, Available online 13 November 2018, Version of Record 16 September 2019.
论文官网地址：https://doi.org/10.1016/j.chb.2018.11.001
