A Hybrid Model for QoS Prediction based on Improved Conditional Variational Autoencoder

As a nonfunctional attribute of Web services, Quality of Service (QoS) is a crucial criterion that researchers utilize to develop personalized service recommendation. The QoS history is thin and contains noisy data because of the network environment and other inevitable factors. In order to increase...

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Veröffentlicht in:	2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) S. 339 - 346
Hauptverfasser:	Wu, Mengwei, Lu, Qin, Wang, Yingxue, Wang, Yichao, Chen, Huanyu, Li, Weixiao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2022
Schlagworte:	BiasSVD Conditional Variational Autoencoder Correlation coefficient Independent Sample T-test Matrix decomposition Noise measurement Predictive models QoS prediction Quality of service Service recommendation Sparse matrices Web services
Online-Zugang:	Volltext
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