基于关联规则的餐饮服务智能推荐系统  

One intelligent recommendation system for catering service based on association rules

作　　者：张奥多 张昕[1] 李怡婷 

机构地区：[1]华南农业大学数学与信息学院,广东广州510642 [2]广州泰迪智能科技有限公司,广东广州510670

出　　处：《广西科技大学学报》2017年第3期117-123,131,共8页Journal of Guangxi University of Science and Technology

基　　金：广东省大学生创新创业训练计划项目(201610564338)资助

摘　　要：为了节省客户的点餐时间,方便客户从海量菜品中找到理想的菜品,本文尝试将关联规则与餐饮服务相结合.通过引入FP-tree关联规则算法,并利用得到的菜品推荐公式中的关联度指标,再综合商家利益最大化、热销菜品等因素及其重要程度创建菜品推荐综合评分公式.基于综合评分对各菜品进行推荐排序,排序结果最终以移动方式推送给顾客,实现菜品动态推荐服务.With the advent of the information era, the relationship between e-commerce and data mining becomes closer, and personalized recommendation service gradually walks into our daily life. In order to save the time of ordering dishes, and to help customers find their favorite dishes from numerous dishes, this paper attempts to develop an intelligent recommendation system for catering service based on the association rules. We establish the comprehensive score formula of dish selection by introducing the FP-tree association rules, using the correlation index of the recommended formula and synthesizing some factors such as the maximum of benefits, hot dishes, etc.The dishes recommendation service is based on the rank of comprehensive score and the sorted results are finally pushed to the customer in a mobile way.

关 键 词：个性化 推荐系统 数据挖掘 关联规则 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TS97[自动化与计算机技术—控制科学与工程]