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Recommendation Algorithm of the App Store by Using Semantic Relations between Apps

  • Yujin Lim
  • Hak-Man Kim
  • Sanggil Kang
  • Tai-hoon Kim
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 151)

Abstract

In this paper, we propose a recommendation algorithm for recommending mobile application software (app) to mobile user using semantic relations of apps consumed by users. To do that, we define semantic relations between apps consumed by a specific member and his/her social members using Ontology. Based on the relations, we identify the most similar social members from the reasoning process. In the experimental section, we show feasibility of our algorithm using a specific scenario.

Keywords

app recommendation mobile semantic relation social members 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yujin Lim
    • 1
  • Hak-Man Kim
    • 2
  • Sanggil Kang
    • 3
  • Tai-hoon Kim
    • 4
  1. 1.Department of Information MediaUniversity of SuwonGyeonggi-doKorea
  2. 2.Department of Electrical EngineeringUniversity of IncheonIncheonKorea
  3. 3.Department of Computer Science and Information EngineeringInha UniversityIncheonKorea
  4. 4.Department of Multimedia EngineeringHannam UniversityDaejeonKorea

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