The existing point of interest recommendation algorithm based on the collaborative filtering can obtain good effect, but when users are far away from their residence, the recommend effect has fallen sharply. The main reason is that user's check-ins mainly concentrate around its residence, and has less activity history in other locations, which results in not accurately calculating the user interest at this time. This paper proposes a point of interest recommendation method based on topic model, which can gi...
【基金】
国家自然科学基金(No.61272277)
【更新日期】
2018-03-06
【分类号】
TP391.3
【正文快照】
1引言在移动互联时代,位置社交网络LBSN(LocationBased Social Network)应运而生[1]。它能够帮助用户访问现实生活中的地理位置,并通过签到功能发布评论、照片、视频等相关地理信息,与其他用户分享自己的访问体验。因此通过分析LBSN数据库可以挖掘出很多有用的信息,如用户对什?
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