Aiming at the lack of targeted dishes recommendation and the low coverage of dishes recommendation in traditional Chinese meals ordering service, a hybrid ordering recommendation model combining association rules and recommendation algorithm based on dishes attributes was proposed. The correlation degree and similarity of dishes were calculated through the combination of historically associated dishes and the key attributes of dishes. Then, recommendation rules were generated based on the comprehensive score of dishes obtained to optimize the traditional association rule FPgrowth algorithm recommendation. Finally, followup dishes recommendation was carried out heuristically according to the ordered dishes of customers. The validity of the model and algorithm was proved by collecting the real historical order data of Chinese restaurants. The experimental results show that the model is better than the traditional single association rule recommendation in the aspects of dishes recommendation precision and coverage when the dishes ordered reach certain amount, it is suitable for the Chinese dishes order recommendation of more customers gathering.