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基于张量分解的动态Web服务推荐

张万才 刘旭东 郭晓辉

张万才, 刘旭东, 郭晓辉等 . 基于张量分解的动态Web服务推荐[J]. 北京航空航天大学学报, 2016, 42(9): 1892-1902. doi: 10.13700/j.bh.1001-5965.2015.0582
引用本文: 张万才, 刘旭东, 郭晓辉等 . 基于张量分解的动态Web服务推荐[J]. 北京航空航天大学学报, 2016, 42(9): 1892-1902. doi: 10.13700/j.bh.1001-5965.2015.0582
ZHANG Wancai, LIU Xudong, GUO Xiaohuiet al. Dynamic Web service recommendation based on tensor factorization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(9): 1892-1902. doi: 10.13700/j.bh.1001-5965.2015.0582(in Chinese)
Citation: ZHANG Wancai, LIU Xudong, GUO Xiaohuiet al. Dynamic Web service recommendation based on tensor factorization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(9): 1892-1902. doi: 10.13700/j.bh.1001-5965.2015.0582(in Chinese)

基于张量分解的动态Web服务推荐

doi: 10.13700/j.bh.1001-5965.2015.0582
基金项目: 国家自然科学基金(61370057);国家“863”计划(2012AA011203);国家“973”计划(2014CB340304)
详细信息
    作者简介:

    刘旭东,男,博士,教授,博士生导师。主要研究方向:服务计算、云计算。Tel.:010-82316285,E-mail:liuxd@act.buaa.edu.cn;张万才,男,博士研究生。主要研究方向:服务计算。E-mail:zhangwc@act.buaa.edu.cn

    通讯作者:

    刘旭东,Tel.:010-82316285,E-mail:liuxd@act.buaa.edu.cn

  • 中图分类号: TP399

Dynamic Web service recommendation based on tensor factorization

Funds: National Natural Science Foundation of China (61370057); National High Technology Research and Development Program of China (2012AA011203); National Key Basic Research Program of China (2014CB340304)
  • 摘要: 在服务计算领域中,为了能够在大量具有相同功能的Web服务以及API等数据资源中选择适合用户的服务和接口,提出了服务推荐系统。当前常用的基于服务质量(QoS)的服务推荐系统所采用的模型假定服务的QoS值恒定不变,是一种由服务和用户的二元关系构成的二维静态模型。针对实际应用中,QoS是受到多种因素影响的变量这一问题,提出了一种可以描述多个影响QoS因素的张量模型,并利用张量分解算法来对服务推荐算法进行了改进。实验结果表明:提出的基于张量分解的服务推荐算法与6种现有算法相比较,预测服务的QoS值的绝对平均误差(MAE)不同程度地降低了20%~50%,并且所建模型能够描述更多的影响因素,从而可对服务进行动态推荐。

     

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出版历程
  • 收稿日期:  2015-09-08
  • 网络出版日期:  2016-09-20

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