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Incorporating Contextual Information into a Mobile Advertisement Recommender System

  • Ke Zhu
  • Yingyuan Xiao
  • Pengqiang Ai
  • Hongya Wang
  • Ching-Hsien Hsu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9313)

Abstract

The ever growing popularity of smart mobile devices and rapid advent of wireless technology have given rise to a new class of advertising system, i.e., mobile advertisement recommender system. The traditional internet advertising systems have largely ignored the fact that users interact with the system within a particular “context”. In this paper, we implemented a mobile advertisement recommender prototype system called MARS. MARS captures different user’s contextual information to improve recommendation results. The demonstration shows that MARS makes advertisement recommendation more effectively.

Keywords

mobile advertisement recommendation context probabilistic model 

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References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ke Zhu
    • 1
  • Yingyuan Xiao
    • 1
    • 2
  • Pengqiang Ai
    • 1
  • Hongya Wang
    • 3
  • Ching-Hsien Hsu
    • 4
  1. 1.Tianjin University of TechnologyTianjinChina
  2. 2.Tianjin Key Lab of Intelligence Computing and Novel Software Tech.TianjinChina
  3. 3.Donghua UniversityShanghaiChina
  4. 4.Chung Hua UniversityHsinchuTaiwan

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