The research and design of recommendation system for nutritional combo
Chen Li, Cheng Zhong Yang · 2016
In the wake of online meal ordering, healthy and nutritionally balanced combos also have been the focus of the attention. At present, some well-made diets attend to be specific to the patients, children or expectant mothers. Some which sacrifices the quality taste for the pure nutrient balance may have little feasibility. This paper, based on the analyses of the users' demands by means of all functional modules, discussed the design of nutritional combo recommendation system. The mainly involved algorithm is the recommendation algorithm based on content and collaborative filtering, which save the hassle of cold start and data sparsity and achieve a desirable performance.