Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation

Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation

Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and sc...

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Bibliographic Details
Main Authors: Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-03-01
Series:Tongxin xuebao
Subjects:
quality of service
latent factorization analysis
non-negative latent factorization of tensor model
unconstrained non-negative
momentum method
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024064/
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