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篇名 |
Collaborative Web Service QoS Prediction via Location-Aware Matrix Factorization and Unbalanced Distribution
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並列篇名 | Collaborative Web Service QoS Prediction via Location-Aware Matrix Factorization and Unbalanced Distribution |
作者 | Wei Xiong、Qiong Gu、Bing Li、Zhao Wu、Lei Yuan |
英文摘要 | QoS prediction is critical to Web service selection and recommendation. This paper proposes a location-aware collaborative approach to QoS prediction of Web services by utilizing the past Web service usage history of service users, which avoids expensive and time-consuming Web service invocations. We first acquire and process client side spatial location information. Then, an approach, which integrates spatial location constraint and LFM method and considers unbalanced distribution of data, is designed to achieve higher prediction accuracy for Web service QoS value based on the collected QoS data and location information. To validate our approach, large scale experiments are conducted based on a real-world Web service dataset, WSDream. The results show that our proposed approach achieves higher prediction accuracy than other approaches. |
起訖頁 | 1063-1074 |
關鍵詞 | Web service、QoS prediction、User- collaboration、Matrix factorization、Location-aware |
刊名 | 網際網路技術學刊 |
期數 | 201807 (19:4期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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