A POI group recommendation method in location-based social networks based on user influence

作者：

Highlights：

• Developing a novel group recommender approach based on the user’s impact on groups.

• Modeling users’ influence on groups using location-based social networks.

• Users’ check-in behavior could be different when they are individual or in a group.

• Considering users’ influence could improve the accuracy of group recommendations.

摘要

•Developing a novel group recommender approach based on the user’s impact on groups.•Modeling users’ influence on groups using location-based social networks.•Users’ check-in behavior could be different when they are individual or in a group.•Considering users’ influence could improve the accuracy of group recommendations.

论文关键词：User influence,POI group recommender system,Location-based social network,Contextual information,Check-in Pattern

论文评审过程：Received 11 September 2020, Revised 1 January 2021, Accepted 7 January 2021, Available online 12 January 2021, Version of Record 22 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114593