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基于云计算的推荐系统研究与实现

发表时间:2012-10-31  浏览量:2037  下载量:786
全部作者: 邱飞,杨鹏,陈国庆
作者单位: 东南大学软件学院(苏州);东南大学计算机网络和信息集成教育部重点实验室
摘 要: 在对传统推荐算法进行比较研究的基础上,提出了一种基于云计算的推荐系统(cloud computing-based recommendation system,CCBRS),该系统能根据不同的推荐需求采用不同的推荐策略。结合CCBRS对单机环境、伪分布式平台及分布式平台下多种推荐算法进行测试和分析,为不同场景推荐策略的选取提供依据。研究工作为推荐系统的研究及云计算技术的应用提供了有益参考。
关 键 词: 计算机应用;推荐系统;推荐策略;云计算;Hadoop
Title: Research and implementation of cloud computing-based recommendation system
Author: QIU Fei, YANG Peng, CHEN Guoqing
Organization: College of Software Engineering, Southeast University; Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education
Abstract: Based on the analysis of the traditional recommendation algorithms, a cloud computing-based recommendation system (CCBRS) was proposed, which can take different recommendation strategies according to different requirements. Combined with CCBRS, several different recommendation algorithms were implemented and tested over the stand-alone environment, pseudo-distributed platform and distributed platform separately, and the conclusions drawn from the test results can be used for the choice of different recommendation strategies. The design and implementation of CCBRS provides valuable references for the research on recommendation system and the application of cloud computing technologies.
Key words: computer application; recommendation system; recommendation strategy; cloud computing; Hadoop
发表期数: 2012年10月第20期
引用格式: 邱飞,杨鹏,陈国庆. 基于云计算的推荐系统研究与实现[J]. 中国科技论文在线精品论文,2012,5(20):1982-1988.
 
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