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《Journal of Zhejiang University(Engineering Science)》 2014-11
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QoS prediction for Web services based on hybrid collaborative filtering

YU Dong-jin;YIN Yu-yu;WU Meng-meng;LIU Yu;School of Computer,Hangzhou Dianzi University;  
In order to avoid the unsatisfying results for selection of Web services due to the lack of historical quality of service(QoS)data,a collaborative-filtering-based method was proposed,It predicteds the missing QoS values using different approaches based on the characteristics and the related regional information of the target users and services.For the special users and services,or the region-sensitive services,it employed the user-based or service-based approaches.Otherwise,employed the adjusted Euclidean distance equation for their similarity calculation,and introduced the balance factors to integrate the user-based result and service-based result.The experimental results based on a real public dataset show that the method achieves the high precision especially for the sparse historical QoS datasets.
【Fund】: 国家自然科学基金资助项目(61100043 61472112);; 浙江省自然科学基金资助项目(LY12F02003);; 浙江省科技计划重点资助项目(2012C11026-3)
【CateGory Index】: TP393.09
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