Leveraging social influence based on users activity centers for point-of-interest recommendation

作者：

Highlights：

• POI recommendation based on a user’s friends behavioral similarity.

• Finding interesting POIs to users within their friendship activity area in LBSNs.

• Analysis of the effect of activity centers on social and geographical influences.

• Extensive evaluation on two LBSNs datasets, namely, Gowalla and Yelp.

摘要

•POI recommendation based on a user’s friends behavioral similarity.•Finding interesting POIs to users within their friendship activity area in LBSNs.•Analysis of the effect of activity centers on social and geographical influences.•Extensive evaluation on two LBSNs datasets, namely, Gowalla and Yelp.

论文关键词：Social influence,Contextual information,Point-of-interest recommendation,Personalization

论文评审过程：Received 2 May 2021, Revised 17 October 2021, Accepted 26 December 2021, Available online 1 February 2022, Version of Record 1 February 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102858