Personalized Recommendation System on Hadoop and HBase

• 作者: Shi Wang Shufen Zhang Xuebin Chen Yanyan Dong
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Hadoop·HBase·MapReduce·Personalized RECOMMENDATION
• 年，卷（期）: 2015,（B12）
• 页码范围: 10-11
• 页数: 2页
• 分类号: C5

摘要

In view of the existing recommendation system in the Big Data have two insufficiencies:poor scalability of the data storage and poor expansibility of the recommendation algorithm,research and analysis the IBCF algorithm and the working principle of Hadoop and HBase platform,a scheme for optimizing the design of personalized recommendation system based on Hadoop and HBase platform is proposed.The experimental results show that,using the HBase database can effectively solve the problem of mass data storage,using the MapReduce programming model of Hadoop platform parallel processing recommendation problem,can significantly improve the efficiency of the algorithm,so as to further improve the performance of personalized recommendation system.