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Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers

  • Liang Wu
  • Alvin Chin
  • Guandong Xu
  • Liang Du
  • Xia Wang
  • Kangjian Meng
  • Yonggang Guo
  • Yuanchun Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7826)

Abstract

WuXianGouXiang is an O2O(offline to online and vice versa)-based mobile application that recommends the nearby coupons and deals for users, by which users can also follow the shops they are interested in. If the potential followers of a shop can be discovered, the merchant’s targeted advertising can be more effective and the recommendations for users will also be improved. In this paper, we propose to predict the link relations between users and shops based on the following behavior. In order to better model the characteristics of the shops, we first adopt Topic Modeling to analyze the semantics of their descriptions and then propose a novel approach, named INtent Induced Topic Search (INITS) to update the hidden topics of the shops with and without a description. In addition, we leverage the user logs and search engine results to get the similarity between users and shops. Then we adopt the latent factor model to calculate the similarity between users and shops, in which we use the multiple information sources to regularize the factorization. The experimental results demonstrate that the proposed approach is effective for detecting followers of the shops and the INITS model is useful for shop topic inference.

Keywords

User Behavior Location Based Services Matrix Factorization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Liang Wu
    • 2
  • Alvin Chin
    • 1
  • Guandong Xu
    • 3
  • Liang Du
    • 5
  • Xia Wang
    • 4
  • Kangjian Meng
    • 4
  • Yonggang Guo
    • 4
  • Yuanchun Zhou
    • 2
  1. 1.Xpress Internet Services, NokiaBeijingChina
  2. 2.Computer Network Information CenterChinese Academy of SciencesChina
  3. 3.Advanced Analytics InstituteUniversity of Technology SydneyAustralia
  4. 4.Beijing NoyaXe Technologies Co. Ltd.China
  5. 5.Institute of SoftwareChinese Academy of SciencesChina

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