Family diet recommendation method and device based on demand similarity of multiple targets

Abstract

The invention discloses a family diet recommendation method and device based on demand similarity of multiple targets. The method mainly aims at meeting the health demands of family members and balancing different diet demands of the family members. The method comprises the steps of collecting health information, role information and demand information of all family members; establishing a diet preference model and a family diet demand model according to the information of the family members; and constructing a food recommendation interval time function model, increasing the types of recommended food to enrich the diet structure, and improving the diversity of a recommendation result. In the aspect of recipe recommendation, nutrition information of disease patients and family members is considered, the requirements of the family members in other aspects are also considered, and multi-target recommendation is realized; and in the aspect of the diet structure of the recommended recipe, change of user preferences along with time and the diversity of the recommended recipe are considered, and through a user preference drifting function and a food recommendation interval time function,a certain food loved by the user is prevented from being continuously recommended, and the diet structure is enriched.

Description

technical field [0001] The invention relates to the field of recommendation systems in computer technology, in particular to a family diet recommendation method and equipment based on multi-objective similarity of requirements. Background technique [0002] In the multi-objective recommendation process of family diet, the most important thing is to consider the health of family members and how to balance the different dietary needs of family members. The results obtained by traditional individual-based dietary recommendation methods cannot fully meet the dietary needs of family members. In addition, if there is a diseased member in the family, it is necessary to ensure the dietary taboos of the diseased member in the family and meet the dietary needs of other family members, and the recommendation of recipes will be more complicated. Therefore, it is necessary to comprehensively consider the information of family members, analyze the specific situation of the family, and fo...

AI Technical Summary

Problems solved by technology

The results of traditional individual-based dietary recommendation methods cannot fully meet the dietary needs of family members

In addition, if there are members with diseases in the family, it is necessary to ensure the dietary taboos of members with diseases in the family and meet the dietary needs of other members of the family. The recommendation of recipes will be more complicated

Images