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With increasing presence and adoption of web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of web services. In this paper, the authors present a collaborative filtering approach for predicting QoS values of web services and making web service recommendation by taking advantages of past usage experiences of service users. They first propose a user-collaborative mechanism for past web service QoS information collection from different service users. Then, based on the collected QoS data, a collaborative filtering approach is designed to predict web service QoS values.
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