2020 Volume 22 Issue 2 Pages 11-20
Food loss is a big problem all over the world. Many recommendation methods for cooking recipes are proposed in previous research. But the total cost of food loss is not minimized in the previous research. In this research dynamic programming is applied to minimize the total cost of food loss in recommendation method for cooking recipes. A new recommendation method is proposed. In the proposed method new recipes are created by substituting the ingredients in existing recipes with other ingredients using ingredient thesaurus. The effectiveness of the proposed method is shown by some experiments. In the experiments the food loss of the proposed method is confirmed to be smaller than the food loss of the empirical recommendation method. The proposed method is expected to contribute to the reduction of f od loss in households. The optimal solution of the proposed method is also a theoretical limit. The theoretical limit can be used to evaluate other recommendation methods. The application of the proposed method to healthcare is a topic of the future.
