NFMF: neural fusion matrix factorisation for QoS prediction in service selection
Selecting suitable web services based on the quality-of-service (QoS) is essential for developing high-quality service-oriented applications. A critical step in this direction is acquiring accurate, personalised QoS values of web services. As the number of web services is enormous and the QoS data a...
Main Authors: | Jianlong Xu, Lijun Xiao, Yuhui Li, Mingwei Huang, Zicong Zhuang, Tien-Hsiung Weng, Wei Liang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-07-01
|
Series: | Connection Science |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/09540091.2021.1889975 |
Similar Items
-
Sur l’unicité de la forme des factorisations de longueur maximale d’une extension purement inséparable finie
by: Fliouet El Hassane
Published: (2014-12-01) -
Jordan-Schwinger Representations and Factorised Yang-Baxter Operators
by: Roland Kirschner, et al.
Published: (2010-04-01) -
A Fast Factorisation of Semi-Primes Using Sum of Squares
by: Anthony Overmars, et al.
Published: (2019-06-01) -
Towards an Effective QoS Prediction of Web Services using Context-Aware Dynamic Bayesian Network Model
by: Saravanan Chandrasekaran, et al.
Published: (2018-01-01) -
QoS-Aware Task Scheduling in Cloud-Edge Environment
by: Shida Lu, et al.
Published: (2021-01-01)