Ranking-Based QoS Prediction of Web Services
作者： Zibin Zheng , Michael R. Lyu
DOI: 10.1007/978-3-642-34207-3_6
关键词:
摘要: The neighborhood-based and model-based collaborative filtering approaches usually try to predict the missing values in user-item matrix as accurately possible. However, ranking-oriented scenarios, accurate value prediction may not lead ranking. To enable Web service QoS ranking, we propose a ranking-based approach. contributions of this chapter include following: (1) identifying critical problem personalized quality ranking for services proposing QoS-driven framework achieve (2) conducting extensive real-world experiments study performance our proposed algorithm compared with other competing algorithms. experimental results show effectiveness
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sci-hub.se 参考文章(14)
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