摘要
为了提升酒店房型个性化推荐效果,将RFM模型与协同过滤技术相结合,设计了一种酒店房型推荐算法,并通过实验验证了该算法的准确性和有效性优于传统的协同过滤推荐算法.
In order to improve the personalized recommendation of hotel rooms,an RFM model is proposed to combine with the original collaborative filtering technology.The accuracy and validity of the improved algorithm are verified to be superior to the traditional collaborative filtering algorithm.
作者
周桂如
ZHOU Guiru(Department of Basic Teaching,Fujian Chuanzheng Communications College,Fuzhou 350007,China)
出处
《吉首大学学报（自然科学版）》
CAS
2018年第5期29-32,共4页
Journal of Jishou University(Natural Sciences Edition)
基金
福建省教育厅科技项目(JAT170944)
关键词
RFM模型
协同过滤技术
酒店服务
推荐算法
RFM model
collaborative filtering
hotel service
recommendation algorithm
