Location-Aware Web Service QoS Prediction via Deep Collaborative Filtering-Reference-Cited by-同舟云学术

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Location-Aware Web Service QoS Prediction via Deep Collaborative Filtering

Published:2022 Issue: Volume: Page:1-12
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Jia Zhaohong¹,Jin Li¹,Zhang Yiwen¹^ORCID,Liu Chuang²^ORCID,Li Kai³,Yang Yun⁴

Affiliation:

1. School of Computer Science and Technology, Anhui University, Hefei, China

2. School of Internet, Anhui University, Hefei, China

3. School of Management, Hefei University of Technology, Hefei, China

4. Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Anhui Provincial Key Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/09940225.pdf?arnumber=9940225

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A context-aware factorisation machine approach for accurate QoS prediction;International Journal of Computational Science and Engineering;2024

2. Accurately Predicting Quality of Services in IoT via Using Self-Attention Representation and Deep Factorization Machines;IEEE Transactions on Intelligent Transportation Systems;2023-11

3. Service Recommendation Model Based on Trust and QoS for Social Internet of Things;IEEE Transactions on Services Computing;2023-09

4. RNL: A Robust and Highly-Efficient Model for Time-Aware Web Service QoS Prediction;Lecture Notes in Computer Science;2023

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