摘要
个性化推荐技术的发展有利于解决互联网海量数据信息过载问题。本文在了解分布式处理架构的特点的基础上,提出了基于Hadoop构建标签推荐系统方案。采用基于Map Reduce模型实现的算法具有较高的伸缩性和性能,能高效地进行离线数据分析。
Personalized recommendation technology development is conducive to resolve the Intemet data information overload problem. Based on the understanding of the characteristics of distributed processing architecture, this paper proposes the tag recom- mendation system based on Hadoop. The algorithm based on MapReduce model has high scalability and performance, and can ana- lyze offline data efficiently.
出处
《电脑与电信》
2015年第7期59-61,共3页
Computer & Telecommunication
关键词
个性化推荐
标签推荐系统
云计算
HADOOP
personalized recommendation
tag recommendation system
cloud computing
Hadoop
