Recommender Systems Based on Resonance Relationship of Criteria With Choquet Operation

Hiep Xuan Huynh, Le Hoang Son, Giap Nguyen Cu, Tri Minh Huynh and Huong Hoang Luong
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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

International Journal of Data Warehousing and Mining (IJDWM), 2020, vol. 16, issue 4, 44-62

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.

Date: 2020
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