THE RESEARCH AND DESIGN OF PARALLEL RECOMMENDATION ALGORITHM BASED ON MAPREDUCE

被引：0
|
作者：
Yang, Juan [1 ]
Du, Han [1 ]
Wu, Bin [1 ]
Ge, Xinxin [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software, Beijing 100876, Peoples R China
来源：
2012 IEEE 2nd International Conference on Cloud Computing and Intelligent Systems (CCIS) Vols 1-3 | 2012年
基金：
中国国家自然科学基金;
关键词：
Recommendation; Mapreduce; Massive data process; Parallel algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The rapid development of Internet technology has brought the problem of information overload, and recommendation algorithm is put forward and considered to be the most effective way to solve the problem. Most of the traditional research about recommendation algorithm is focused on accuracy and diversity. However, in the practical engineering application, massive data process will be the most serious problem. In this paper, we propose a parallel recommendation algorithm based on mapreduce programming model, which runs on Hadoop platform, and in our system, we use mongodb as our auxiliary storage data. Finally, we give some experiments to prove our algorithm is suitable for processing massive data.
引用
收藏
页码：303 / 307
页数：5
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