THE RESEARCH AND DESIGN OF PARALLEL RECOMMENDATION ALGORITHM BASED ON MAPREDUCE

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.

关键词： Recommendation Mapreduce Massive data process Parallel algorithm

作者: Juan Yang Han Du Bin Wu Xinxin Ge

作者单位: Beijing Key Lab of Intelligent Telecommunication Software and Multimedia,Beijing University of Posts and Telecommunications,Beijing 100876,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 381-385

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）