WCSE 2022 Spring
ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.044

Hierarchical Bayesian Recommendation Model for Inter-Company Collaboration Using Cross-Industry Questionnaire

Yuki Hoshino, Ryo Matsui, Kota Ishizuka, Koya Ishikawa, Taiga Umetsu, Kazuhide Nakata

Abstract— In recent years, companies have participated in a lot of brand collaboration, which is expected to improve consumer attitudes toward both brands. However, choosing the appropriate collaborator is a very difficult task. Therefore, we propose a hierarchical Bayesian model for recommending a company for collaboration using questionnaire data rating consumer satisfaction with the company. This model allows us to account for uncertainty, bias, and hierarchical relationships in the questionnaire data. Our experiments showed that the model can estimate the level of satisfaction with the companies, and also confirmed the validity of the company recommendations for collaboration.

Index Terms— Hierarchical Bayesian modelling, Questionnaire, Recommendation system, Mean-variance model

Yuki Hoshino
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan
Ryo Matsui
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan
Kota Ishizuka
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan
Koya Ishikawa
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan
Taiga Umetsu
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan
Kazuhide Nakata
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan

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Cite: Yuki Hoshino, Ryo Matsui, Kota Ishizuka, Koya Ishikawa, Taiga Umetsu, Kazuhide Nakata, " Hierarchical Bayesian Recommendation Model for Inter-Company Collaboration Using Cross-Industry Questionnaire, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 362-370, Sanya, China, April 15-18, 2022.