计算机应用与软件2024，Vol.41Issue(4)：80-85,6.DOI:10.3969/j.issn.1000-386x.2024.04.012
基于多模态的冷启动饮食推荐算法研究与实现
RESEARCH AND IMPLEMENTATION OF COLD START DIET RECOMMENDATION ALGORITHM BASED ON MULTI-MODAL
摘要
Abstract
In order to help users find recipes in line with their personal dietary preferences from a large number of recipes,a cold start algorithm for dietary preference recommendation based on multi-modal is proposed.The algorithm was divided into online and offline phases.In the offline stage,the semantic vector of each dimension of recipe information was obtained through representation learning.In the online stage,based on the idea of iteration and graph similarity propagation,the user's preference for all recipes was obtained and recommended through a small amount of preference feedback of recipes.The experimental results show that the accuracy of the cold start diet recommendation algorithm based on multi-modal achieves the level of practical engineering application.关键词
饮食推荐/冷启动/多模态Key words
Diet recommendation/Cold start/Multi-modal分类
信息技术与安全科学引用本文复制引用
涂帅,黄锦鸿,朱珍民..基于多模态的冷启动饮食推荐算法研究与实现[J].计算机应用与软件,2024,41(4):80-85,6.基金项目
国家重点研发计划项目(2018YFC2000605). （2018YFC2000605）
