AERQP: adaptive embedding representation-based QoS prediction for web service recommendation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05582-9.pdf
Reference33 articles.
1. Wu H, Zhang Z, Luo J et al (2021) Multiple attributes QoS prediction via deep neural model with contexts. IEEE Trans Serv Comput 14(4):1084–1096
2. Zhu X, Jing XY, Wu D et al (2021) Similarity-maintaining privacy preservation and location-aware low-rank matrix factorization for QoS prediction based web service recommendation. IEEE Trans Serv Comput 14(3):889–902
3. Ngaffo AN, El Ayeb W, Choukair Z (2022) Service recommendation driven by a matrix factorization model and time series forecasting. Appl Intell 52(1):1110–1125
4. Chen Y, Zhang Y, Xia H et al (2022) A hybrid tensor factorization approach for QoS prediction in time-aware mobile edge computing. Appl Intell 52(7):8056–8072
5. Yang Y, Zheng Z, Niu X et al (2021) A location-based factorization machine model for web service QoS prediction. IEEE Trans Serv Comput 14(5):1264–1277
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