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题名: Exploring the effectiveness of true abnormal data elimination in context-aware web services recommendation
作者: Fan, Xiaoliang; Wang, Yujie; Hu, Yakun; Ma, You; Liu, Xiao
收录类别: EI
出版日期: 2016-08-31
会议名称: 23rd IEEE International Conference on Web Services, ICWS 2016
会议日期: June 27, 2016 - July 2, 2016
会议地点: San Francisco, CA, United states
英文摘要: Recent years have witnessed a growing interest in context-aware recommender system (CARS), which explores the impact of context factors on personalized Web services recommendation. Basically, the general idea of CARS methods is to mine historical service invocation records through the process of context-aware similarity computation. It is observed that traditional similarity mining process would very likely generate relatively big deviations of QoS values, due to the dynamic change of contexts. As a consequence, including a considerable amount of deviated QoS values in the similarity calculation would probably result in a poor accuracy for predicting unknown QoS values. In allusion to this problem, this paper first distinguishes two definitions of Abnormal Data and True Abnormal Data, the latter of which should be eliminated. Second, we propose a novel CASR-TADE method by incorporating the effectiveness of True Abnormal Data Elimination into context-aware Web services recommendation. Finally, the experimental evaluations on a real-world Web services dataset show that the proposed CASR-TADE method significantly outperforms other existing approaches. © 2016 IEEE.
关键词: Web services ; Coherent scattering ; Quality of service ; Websites ; Abnormal data eliminations ; Context- awareness ; Context-aware web services ; Experimental evaluation ; Qos predictions ; Similarity calculation ; Similarity computation ; Web services recommendations
作者部门: (1) School of Information Science and Engineering, Lanzhou University, Lanzhou, China ; (2) National Satellite Meteorological Center, China Meteorological Administration, Beijing, China ; (3) School of Information Technology, Deakin University, Melbourne, Australia
学科分类: Electromagnetic Waves
会议录: Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016
页码: 300-307
出版者: IEEE
语种: 英语
DOI: 10.1109/ICWS.2016.46
EI记录号: 20164202911051
IR记录号: 20164202911051
第一机构:
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内容类型: 会议论文
URI标识: http://ir.lzu.edu.cn/handle/262010/184032
Appears in Collections:信息科学与工程学院_会议论文

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Recommended Citation:
Fan, Xiaoliang,Wang, Yujie,Hu, Yakun,et al. Exploring the effectiveness of true abnormal data elimination in context-aware web services recommendation[C]. 见:23rd IEEE International Conference on Web Services, ICWS 2016. San Francisco, CA, United states. June 27, 2016 - July 2, 2016.
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