Dish recommendation method based on fitness data

Abstract

The invention discloses a dish recommendation method based on fitness data, which comprises the following steps: collecting fitness data of a user in a fitness place; determining an exercise intensityof a user at the fitness venue according to the fitness data; determining a target heat density corresponding to the motion intensity in the mapping relation matrix based on a mapping relation matrixof the motion intensity and the heat density of the user in at least one physiological characteristic dimension; obtaining the dishes information of the restaurant in the geographical area where thetarget dining location is located; at least one restaurant within that geographical area is screen for dishes match the target calorie density according to the dishes information. The dish recommendation method based on the fitness data is more timely and accurate to supplement the heat consumed by the user in the fitness exercise, promotes the online integration of the sports fitness industry andthe catering industry, and also improves the consumption experience and the viscosity of the user.

Description

technical field [0001] This application relates to the field of Internet technology, and in particular to a method for recommending dishes based on fitness data. The present application also relates to a device for recommending dishes based on fitness data, and an electronic device. Background technique [0002] With the rapid development of technologies such as the Internet of Things and big data, various technologies related to the Internet of Things and big data have been deeply applied to all aspects of social life. Increasingly, it has become a common way for users to participate in fitness in fitness places to relieve stress. While exercising in fitness places, users also need to maintain a healthy body through reasonable planning and diet control of diet structure. [0003] The prior art (CN105844357A) provides a method for recommending dishes based on calorie requirements, including: Calculation of calorie needs to be supplemented: Calculating the required calorie i...

AI Technical Summary

Problems solved by technology

[0004] The method for recommending dish collocation based on the required calories provided by the prior art calculates the calorie that the user needs to supplement based on the historical data of the calorie consumption in the past when recommending the dish collocation, and then recommends dishes for the user based on the calculated calorie However, this method cannot recommend dishes for users in real time according to the calories consumed by users in real time, and cannot provide targeted supplements to the calories consumed by users in a timely manner, so there are certain defects

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