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)


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.


app recommendation mobile semantic relation social members 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
  2. 2.
    Liang, T.-P., Yang, Y.-F., Chen, D.-N., Ku, Y.-C.: A Semantic Expansion Approach to Personalized Knowledge Recommendation. ACM Decision Support Systems 45, 401–412 (2008)CrossRefGoogle Scholar
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
    Maedche, A., Staab, S.: Learning ontologies for the semantic web. In: Semantic Web Worskhop (2001)Google Scholar
  8. 8.
    Blanco-Fernández, Y., Pazos-Arias, J.J., Gil-Solla, A., Ramos-Cabrer, M., López-Nores, M., García-Duque, J., Fernández-Vilas, A., Díaz-Redondo, R.P.: Exploiting Synergies between Semantic Reasoning and Personalization Strategies in Intelligent Recommender Systems: A Case Study. Elsevier The Journal of Systems and Software 81, 2371–2385 (2008)CrossRefzbMATHGoogle Scholar
  9. 9.
    Vuljanic, D., Rovan, L., Baranovic, M.: Semantically Enhanced Web Personalization Approaches and Techniques. In: Proc. of Intl. Conf. on Information Technology Interfaces, pp. 217–222. IEEE Press, Croatia (2010)Google Scholar

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

Personalised recommendations