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基于RFM模型和协同过滤技术的酒店房型推荐算法
引用本文:周桂如.基于RFM模型和协同过滤技术的酒店房型推荐算法[J].吉首大学学报(自然科学版),2018,39(5):29.
作者姓名:周桂如
作者单位:(福建船政交通职业技术学院公共教学部,福建 福州 350007)
基金项目:福建省教育厅科技项目(JAT170944)
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.

关 键 词:RFM模型  协同过滤技术  酒店服务  推荐算法  

Implementation of Hotel Room Recommendation Algorithm Based on RFM Model and Collaborative Filtering Technology
ZHOU Guiru.Implementation of Hotel Room Recommendation Algorithm Based on RFM Model and Collaborative Filtering Technology[J].Journal of Jishou University(Natural Science Edition),2018,39(5):29.
Authors:ZHOU Guiru
Institution:(Department of Basic Teaching,Fujian Chuanzheng Communications College,Fuzhou 350007,China)
Abstract: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.
Keywords:RFM model                                                                                                                        collaborative filtering                                                                                                                        hotel service                                                                                                                        recommendation algorithm
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