User based dietary recommendation method

Abstract

The invention provides a user based dietary recommendation method, which takes implicit geographical attributes of users into consideration while ensuring to conform to the health and avoided foods ofthe users so as to recommend diets which are more in line with local dietary habits. The user based dietary recommendation method considers the time and season to which ingredients belong while recommending a recipe, thereby enabling the recommendation to more conform to the diet concept of natural health.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of meal recommendation, and in particular to a user-based meal recommendation method. Background technique [0002] With the improvement of people's living standards, people's health awareness is getting stronger and stronger. In addition to eating well, they also need to eat healthy. Usually people will refer to the dietary guidelines to formulate a meal plan, but the guidelines are only a suggestion for ingredients and nutritional combinations, and cannot recommend a nutritious and healthy dietary management plan based on different family situations to solve people's "what to eat" every day and every meal problem. [0003] Existing meal recommendation methods include: Option 1 is a meal recommendation method based on user taste. This type of recommendation method focuses on making recommendations based on the user’s typical taste. Information such as the user's health status and...

AI Technical Summary

Problems solved by technology

However, the recommended recipes do not consider the seasonal ingredients. They may recommend summer ingredients in winter. These out-of-season ingredients are obviously not healthy enough

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