Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization

Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization

Prediction of quality of service (QoS) is a critical area of research for cloud service recommendation. The disadvantage of QoS values is that they are directly related to time series of service status and network condition and thus instantly vary over time. The main contribution of this paper is to...

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Bibliographic Details
Main Authors: Shun Li, Junhao Wen, Fengji Luo, Gianluca Ranzi
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Could service
recommender system
QoS prediction
time-aware
matrix factorization
Online Access:https://ieeexplore.ieee.org/document/8552343/

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