Recommendation of Restaurant Menu Considering Meal History of Family

Many healthcare-oriented menu recommendation methods are proposed in previous research. In some previous research, the purchase cost is minimized in addition to the minimization of the healthcare loss under the limit on the purchase cost when there are multiple optimal solutions. But in the previous research, the minimization of the healthcare loss considering meal history has not been studied. In this research, a recommendation method for restaurant menus that minimizes the healthcare loss under the limit on the purchase cost, considering meal history of family is proposed. The proposed method also calculates the minimum purchase cost when there are multiple optimal solutions on the healthcare loss. In the proposed method, the healthcare loss and the purchase cost are minimized by dynamic programming. The effectiveness of the proposed method is shown by some computational examples. In the computational examples, the healthcare loss of the proposed method is confirmed to be smaller than the loss of the empirical recommendation method. Adaptive menu selection examples under cost constraints, considering meal history of family are also confirmed. This research is basic research, and future extended research is required.