基于Hadoop和Mahout的分布式推荐引擎的设计

The Design of Distributed Recommendation Engine Based on Hadoop and Mahout

推荐方法研究是信息检索、数据挖掘和机器学习等智能信息处理领域的研究热点。分数据存储层、产生推荐层和应用层3个层次,介绍了基于Hadoop和Mahout的分布式推荐引擎的设计方案。

Recommendation method research is a hotspot of the researches in intelligent information processing field such as the information retrieval, data mining, and machine learning, etc. This paper introduces the design scheme of the distributed recommendation engine based on Hadoop and Mahout from three levels of data store, recommender and application.