Place Recommendation Based on Users Check-in History for Location-Based Services

• Chen Hongbo

  Hiroshima University

• Shamsul Arefin Mohammad

  Hiroshima University

• Chen Zhiming

  Hiroshima University

• Morimoto Yasuhiko

  Hiroshima University

Abstract

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 users’ check-in activities based on not only their positions but also their semantics such as “shopping”, “eating”, “drinking”, 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.

Journal

• International Journal of Networking and Computing

  International Journal of Networking and Computing 3 (2), 228-243, 2013

  IJNC Editorial Committee

Keywords

• Recommender systems
• Collaborative filtering
• Place recommendation

Details

• CRID: 1390282680727494656
• NII Article ID: 130005475368
• DOI: 10.15803/ijnc.3.2_228
• ISSN: 21852847
• ISSN: 21852839
• NDL BIB ID: 024805848
• Web Site: http://id.ndl.go.jp/bib/024805848
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024805848
• Web Site: https://www.jstage.jst.go.jp/article/ijnc/3/2/3_228/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed