A dietary regimen generation system based on collaborative filtering and factorization machines model

The dietary plan generation system, which uses collaborative filtering and factor decomposition machine models, solves the problem of unscientific traditional postpartum meal planning, and achieves personalized and scientific nutrition management to ensure balanced nutrition for postpartum women.

CN115631831BActive Publication Date: 2026-07-07NANJING MEDLANDER MEDICAL TECH CO LTD
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Patent Information

Application Number
CN202211197654.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-29
Publication Date
2026-07-07
Estimated Expiration
2042-09-29

AI Technical Summary

Technical Problem

Traditional postpartum meal preparation methods are cumbersome and unscientific, failing to take into account the individual differences of postpartum women, resulting in unbalanced nutritional intake and affecting the health of postpartum women.

Method used

A dietary plan generation system based on collaborative filtering and factor decomposition machine models is adopted. It collects human body composition data through bioelectrical impedance technology, combines basic information and eating conditions, recommends personalized dietary plans using collaborative filtering and FM algorithms, and adjusts nutrient intake through intelligent plate analysis.

Benefits of technology

It enables the automatic generation of scientific and reasonable dietary plans based on the individual circumstances of postpartum women, dynamically monitors and adjusts nutrient intake, and ensures that postpartum women have a balanced diet.

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Abstract

The present application relates to the technical field of dietary recommendation, in particular to a dietary plan generation system based on collaborative filtering and factorization machine model, which comprises a body composition collection module, a basic information collection module, a data storage module, a dietary recommendation module, a display module, a meal data collection module and a repair module. The dietary recommendation module can push out corresponding dietary plan according to the basic information and body composition of the user and the actual meal information of the user. The repair module calculates the appropriate nutrition that needs to be supplemented by the user during the next meal through the meal condition and historical data of the user. The present application can automatically generate a recipe that meets the needs of each postpartum mother. The system can also monitor the meal condition of the postpartum mother and feed back the meal data to the next week's diet plan to make a repair to the meal plan of the postpartum mother, thereby ensuring the scientificity of the nutrition intake of the mother.
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