A Multi-stack Denoising Autoencoder for QoS Prediction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-15931-2_62
Reference21 articles.
1. Pandharbale, P., Mohanty, S.N., Jagadev, A K.: Study of recent web service recommendation methods. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 692–695 (2020). https://doi.org/10.1109/ICIMIA48430.2020.9074853
2. Ma, Y., Xin, X., Wang, S.G., Li, J.L., Sun, Q.B., Yang, F.C.: QoS evaluation for web service recommendation. China Commun. 12(4), 151–160 (2015). https://doi.org/10.1109/CC.2015.7114061
3. Abdullah, M.N., Bhaya, W.S.: Predicting QoS for web service recommendations based on reputation and location clustering with collaborative filtering. In: 2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM), pp. 19–25 (2021).https://doi.org/10.1109/ICCITM53167.2021.9677842
4. Yang, H., Yan, H., Dong, C.: A k-means clustering approach for PCA-based web service QoS prediction. In: 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), pp. 129–132 (2019). https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00050
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