计算技术与自动化Issue(3)：67-72,6.
基于 Mahout 分布式协同过滤推荐算法分析与实现
Analysis and Implementation of Distributed Collaborative Filtering Recommendation Algorithm Based on Mahout
摘要
Abstract
With the development of information technology and Internet,facing the vast amount of information,it is dif-ficult to correctly choose for users in the era of information overload.Collaborative filtering is a relatively mature algorithm in personalized recommendation,but its sparsity,cold start,scalability problems still exist,especially can not be applied to distributed recommendation.On the platform of Hadoop,Mahout realized the distributed item-based collaborative filtering recommendation algorithm,and the algorithm can effectively solve massive data processing efficiency and scalability problem of the traditional algorithm.The experimental results show that,collaborative filtering algorithm has the high calculation ef-ficiency and good scalability based on Mahout.关键词
分布式协同过滤/Mahout/推荐系统Key words
distributed collaborative filtering/mahout/recommendation system分类
信息技术与安全科学引用本文复制引用
曾志浩,张琼林,姚贝,孙琪..基于 Mahout 分布式协同过滤推荐算法分析与实现[J].计算技术与自动化,2015,(3):67-72,6.基金项目
科技部科技支撑计划课题项目(2013BAJ10B14-5),湖南省自然科学基金面上课题项目(14JJ2115),湖南省教育厅科研重点项目(14A037) （2013BAJ10B14-5）
