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面向云计算的大数据协同过滤并行推荐方法 被引量：4

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摘要 针对大数据环境下的并行推荐问题,提出一种面向云计算的大数据协同过滤并行推荐方法,基于云计算思想实现了协同过滤两个核心步骤基于用户-项目评分矩阵计算相似度、基于相似度评分预测的四次MapReduce化并行化推荐,最后进行了实验设计。
作者 刘海鸥 房俊峰
机构地区 燕山大学经济管理学院
出处 《电子商务》 2014年第3期58-58,68,共2页 E-Business Journal
基金 国家自然科学基金(71271186) 教育部人文社科基金(12YJA630191) 河北省自然科学基金(G2013203237) 中国博士后基金(No.2012M520598) 河北省软科学研究项目(134576141D)
关键词 云计算 大数据 协同过滤 并行推荐
分类号 TP391.3 [自动化与计算机技术—计算机应用技术]
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参考文献4

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共引文献61

同被引文献38

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电子商务
2014年 第3期

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