文章基本信息

标题：Place Recommendation Based on Users Check-in History for Location-Based Services
其他标题：Place Recommendation Based on Users Check-in History for Location-Based Services
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作者：Hongbo Cheng ; Mohammad Shamsul Arefin ; Zhiming Chen 等
期刊名称：International Journal of Networking and Computing
印刷版ISSN：2185-2847
出版年度：2013
卷号：3
期号：2
页码：228-243
语种：English
出版社：International Journal of Networking and Computing
摘要：With rapid growth of the GPS enabled mobile devices, location-based online social network services become very popular, and allow their users to share life experiences with location information. In this paper, we considered a method for recommending places to a user based on spatial databases of location- based online social network services. We used a user-based collaborative filtering method to make a set of recommend places. In the proposed method, we calculate similarity of usersâ€™ check-in activities based on not only their positions but also their semantics such as â€œshoppingâ€, â€œeatingâ€, â€œdrinkingâ€, and so forth. We empirically evaluated our method in a real database and found that the proposed method outperforms the naive singular value decomposition collaborative filtering in its recommendation accuracy.
关键词：Recommender systems; Collaborative filtering; Place recommendation