Abstract. One of the factors that affect food choice is flavor preferences. Although the flavors of cuisines vary from one region to another, there are flavor similarities among the cuisines from geographically adjacent regions. This paper presents a recipe recommendation system to recommend a set of dishes from the various Chinese regional cuisines for a certain flavor preference in terms of flavor similarity. The flavor similarities among the cuisines are determined using our previously developed algorithms. First, the TF-IDF (Term Frequency-Inverse Document Frequency) algorithm is used to calculate the ingredient preferences of the regional cuisines, on the basis of which, each dish of the regional cuisines is given a score. Then, we use the cosine similarity to measure the flavor similarities among the regional cuisines. Finally, the Tidal-Trust algorithm is employed to choose the dishes with the most similar flavors and recommend them to the user. The results of the questionnaire evaluation for the system show the recommendations from the system are reasonable and acceptable from professional chefs' point of view.