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Recommender Systems Based on Resonance Relationship of Criteria With Choquet Operation

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  • Hiep Xuan Huynh

    (College of Information and Communication Technology, Can Tho University, Can Tho City, Vietnam)

  • Le Hoang Son

    (VNU Information Technology Institute, Vietnam National University, Vietnam)

  • Giap Nguyen Cu

    (Thuongmai University, Hanoi, Vietnam)

  • Tri Minh Huynh

    (Kien Giang University, Vietnam)

  • Huong Hoang Luong

    (FPT University, Can Tho City, Vietnam)

Abstract

Recommender systems are becoming increasingly important in every aspect of life for the diverse needs of users. One of the main goals of the recommender system is to make decisions based on criteria. It is thus important to have a reasonable solution that is consistent with user requirements and characteristics of the stored data. This paper proposes a novel recommendation method based on the resonance relationship of user criteria with Choquet Operation for building a decision-making model. It has been evaluated on the multirecsys tool based on R language. Outputs from the proposed model are effective and reliable through the experiments. It can be applied in appropriate contexts to improve efficiency and minimize the limitations of the current recommender systems.

Suggested Citation

  • Hiep Xuan Huynh & Le Hoang Son & Giap Nguyen Cu & Tri Minh Huynh & Huong Hoang Luong, 2020. "Recommender Systems Based on Resonance Relationship of Criteria With Choquet Operation," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 16(4), pages 44-62, October.
    • Handle: RePEc:igg:jdwm00:v:16:y:2020:i:4:p:44-62
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