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

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.