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Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network

Author

Listed:
  • Han-Saem Park

    (Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Korea)

  • Moon-Hee Park

    (Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Korea)

  • Sung-Bae Cho

    (Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Korea)

Abstract

The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user's preference. Also, Analytical Hierarchy Process of multi-criteria decision-making method is used to estimate the group users' preference from individual users' preferences. Experiments in 10 different situations provide a comparison of the proposed method with random recommendation, simple rule-based recommendation and neural network recommendation, and confirm that the proposed method is useful with the subjective test.

Suggested Citation

  • Han-Saem Park & Moon-Hee Park & Sung-Bae Cho, 2015. "Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 317-338.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:02:n:s0219622015500017
    DOI: 10.1142/S0219622015500017
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    Citations

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    Cited by:

    1. F. J. Cabrerizo & J. López-Gijón & M. A. Martínez & J. A. Morente-Molinera & E. Herrera-Viedma, 2017. "A Fuzzy Linguistic Extended LibQUAL+ Model to Assess Service Quality in Academic Libraries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 225-244, January.
    2. Chonghui Zhang & Weihua Su & Sichao Chen & Shouzhen Zeng & Huchang Liao, 2023. "A Combined Weighting Based Large Scale Group Decision Making Framework for MOOC Group Recommendation," Group Decision and Negotiation, Springer, vol. 32(3), pages 537-567, June.

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