@inproceedings{8133ebbaf25a42ceb3e56ef26290c60d,
title = "Discovering web services with reliable quality: System architecture and algorithms",
abstract = "This paper studies the problem of designing practical web service recommender systems that make quality predictions based on web service invocation histories. We formalize a generic architecture for such systems, that include both an online training module and an off-line training module. In addition, we develop a general online and off-line training algorithms to demonstrate the advantages of such an architecture and the natural fit of stochastic gradient descent algorithms for the architecture. The advantages of our proposed architecture has been confirmed by the comparisons with existing web service recommendation algorithms on a real-life dataset.",
keywords = "Dynamics, Online algorithm, Quality of web service",
author = "Richong Zhang and Xudong Liu and Deliang Yi",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Web Services, ICWS 2016 ; Conference date: 27-06-2016 Through 02-07-2016",
year = "2016",
month = aug,
day = "31",
doi = "10.1109/ICWS.2016.105",
language = "英语",
series = "Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "654--657",
editor = "Stephan Reiff-Marganiec",
booktitle = "Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016",
address = "美国",
}