A Novel Deep-Learning-Based QoS Prediction Model for Service Recommendation Utilizing Multi-Stage Multi-Scale Feature Fusion With Individual Evaluations-Reference-Cited by-同舟云学术

A Novel Deep-Learning-Based QoS Prediction Model for Service Recommendation Utilizing Multi-Stage Multi-Scale Feature Fusion With Individual Evaluations

Published:2023 Issue: Volume: Page:1-14
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Zhang Peiyun¹^ORCID,Huang Wenjun¹^ORCID,Chen Yutong¹^ORCID,Zhou MengChu²^ORCID,Al-Turki Yusuf³^ORCID

Affiliation:

1. Engineering Research Center of Digital Forensics of Ministry of Education and the School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China

2. Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Natural Science Foundation of China

Institutional Fund Projects

Startup Foundation for New Talents of the Nanjing University of Information Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10137554.pdf?arnumber=10137554

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