Institute of Acoustics, Chinese Academy of Sciences, National Network New Media Engineering Research Center, Beijing, China

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Abstract—With the increasing presence and adoption of web services, accurate QoS prediction methods are becoming increasingly important. Although some QoS prediction techniques have been proposed and analyzed recently, the performance is not satisfactory, since they didn’t take the relation between QoS values and users’ physical locations into consideration. In order to improve the precision of web service QoS prediction, we propose a probabilistic matrix factor model that fuses the users' own properties and their physical neighbors' performance together, so as to make a comprehensive use of both the users’ QoS records and their location relation. The experimental results show that our method performs better than the state-of-the-art approaches.

Index Terms—web service, prediction, QoS, location, PMF

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Cite: Fei Peng, Xuewen Zeng, Haojiang Deng, Lei Liu, "The QoS Prediction of Web Service with Location Information Ensemble," Journal of Software vol. 9, no. 5, pp. 1210-1216, 2014.