摘要
个性化推荐服务可被用于挖掘用户历史浏览、购买、收藏商品以及用户喜欢的装修风格间隐藏的关联性,将获得的用户可能感兴趣的寝室装修资源推荐给用户,可以达到更好地为用户服务的目的。数据挖掘的经典算法Apriori算法可以实现为用户推荐喜欢的装修方案。
Personalized recommendation service can be used to mine the hidden correlation between the user's historical browsing,purchase,collection of goods and the user's favorite decoration style,and recommend the obtained dormitory decoration resources that the user may be interested in to the user,so as to achieve better service for the user.The classic algorithm of data mining,Apriori algorithm,can recommend the decoration plan that users like.
作者
祝逸敏
程阿明
陈贤恒
陈隆强
陈麓屹
ZHU Yimin;CHENG Aming;CHEN Xianheng;CHEN Longqiang;CHEN Luyi(College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310000,China)
出处
《计算机应用文摘》
2023年第17期57-59,共3页
Chinese Journal of Computer Application
基金
浙江省大学生科技创新活动计划暨新苗人才计划(2022R421A014)。
关键词
APRIORI算法
个性化
寝室装修
标签推荐
Apriori algorithm
individualization
bedroom decoration
label recommendation
