Dynamically Predicting the Quality of Service: Batch, Online, and Hybrid Algorithms
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper studies the problem of dynamically modeling the quality of web service.
The philosophy of designing practical web service recommender systems is delivered in this paper.
A general system architecture for such systems continuously collects the user-service invocation records and includes both an online training module and an offline training module for quality prediction.
In addition, we introduce matrix factorization-based online and offline training algorithms based on the gradient descent algorithms and demonstrate the fitness of this online/offline algorithm framework to the proposed architecture.
The superiority of the proposed model is confirmed by empirical studies on a real-life quality of web service data set and comparisons with existing web service recommendation algorithms.
American Psychological Association (APA)
Chen, Ya& Jiang, Zhong-an. 2017. Dynamically Predicting the Quality of Service: Batch, Online, and Hybrid Algorithms. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175455
Modern Language Association (MLA)
Chen, Ya& Jiang, Zhong-an. Dynamically Predicting the Quality of Service: Batch, Online, and Hybrid Algorithms. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1175455
American Medical Association (AMA)
Chen, Ya& Jiang, Zhong-an. Dynamically Predicting the Quality of Service: Batch, Online, and Hybrid Algorithms. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175455