基于协同过滤的个性化零食推荐微信公众平台设计与实现

Design and implementation of wechatpublic platform for personalized snackrecommendationbased on collaborativefilteringABSTRACTWith the continuous development of social economy and the increasingconsumption level of residents,the demand for snacks is growing.But there are manykinds of snacks on the market.It takes a lot of time and energy for users to find asnack that suits their taste.How to help users find their favorite snacks quickly andefficiently is a problem.Therefore,the topic of personalized snack recommendation isput forward.This topic is to design and implement a snack information publishing systembased on wechat public platform.Each user can publish their favorite snackinformation to the system for other users'reference.According to some feedbackbehaviors of users,the system will adopt collaborative filtering algorithm topersonalized recommend snack information for users.Finally,the system has beentested to meet the requirements and successfully deployed on wechat public platformand cloud server.Key words:Wechat public platform;Snack recommendation;Personalizedrecommendation;Collaborative filtering