Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning-Reference-Cited by-同舟云学术

Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning

Published:2023-09 Issue:3 Volume:20 Page:2587-2597
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Lian Huiqiang¹,Li Jiahui²,Wu Hao¹^ORCID,Zhao Yiji³^ORCID,Zhang Lei⁴^ORCID,Wang Xin⁵^ORCID

Affiliation:

1. School of Information Science and Engineering and the Key Lab of Intelligent Systems and Computing of Yunnan Province, Yunnan University, Kunming, China

2. School of Computer and Information Technology, Fudan University, Shanghai, China

3. School of Computer and Information Technology, Beijing Jiaotong University, Peking, China

4. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China

5. School of Computer Science, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Yunnan Provincial Foundation for Leaders of Disciplines in Science and Technology

Yunnan High-Level Talent Training Support Plan: Young Top Talent Special Project

Program for Excellent Young Talents of Yunnan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10274602/10015781.pdf?arnumber=10015781

Reference36 articles.

1. Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning

2. Web Service QoS Prediction via Collaborative Filtering: A Survey

3. QoS Prediction for 5G Connected and Automated Driving

4. Forecasting Quality of Service for Next-Generation Data-Driven WiFi6 Campus Networks

5. Predictive Quality of Service: The Next Frontier for Fully Autonomous Systems

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