Collaborative Filtering Algorithm based on User in Cloud Computing

被引：1
|
作者：
Zhang, Dan [1 ]
机构：
[1] Mudanjiang normal Univ, Inst Technol, Mudanjiang 157000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2016年 / 9卷 / 12期
关键词：
Cloud computing; MapReduce; Collaborative filtering; Hadoop;
D O I：
10.14257/ijgdc.2016.9.12.22
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The user-based collaborative filtering algorithm has been widely used in various kinds of personalized recommendation systems. But it has a serious shortcoming: with the increasing number of the users and commodities, its calculation work grows rapidly. To address the problem of vast time consumption by big dataset, we utilize MapReduce programming idea to do parallelized transformation of the algorithm; finally deploy it to be run in Hadoop cloud computing platform. Experiments have revealed that if computing data is reasonably distributed and the data volume is big, then the algorithm performance of the algorithm can realize favorable linearly speeding effect.
引用
收藏
页码：245 / 253
页数：9
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