An Approach for Web Service QoS Prediction Based on Service Using Information

With the increasing numbers of Web services and service users on World Wide Web, predicting QoS (Quality of Service) for users will greatly aid service selection and discovery. Due to the different backgrounds and experiences of users, they have different QoS experiences when interacting with the same service. Even two users who have similar experiences on some services can have diverging views when considering services. This paper proposes an approach to predict QoS based on other users´ QoS experiences. This method employs similarity mining and prediction from users´ experience by firstly selecting a set of web services that have the highest degree of similarity with the target service by comparing the target service with the others services used by target user. Secondly, the missing value can be calculated through the data of similar services. On the basis of that, we calculate the user similarity and predict QoS data for target user. Experimental results show that it can improve the prediction accuracy of QoS for Web service by using this method.