Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem-Reference-Cited by-同舟云学术

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Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem

Published:2021-05-01 Issue:3 Volume:14 Page:736-746
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Ryu Duksan^ORCID,Lee Kwangkyu,Baik Jongmoon^ORCID

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/9450057/08329268.pdf?arnumber=8329268

Cited by 51 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. Bayesian Model Selection for Addressing Cold-Start Problems in Partitioned Time Series Prediction;Mathematics;2024-08-28

2. Robustness of Random Walk on a Graph against Adversary Attacks;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. QoS-Aware Graph Contrastive Learning for Web Service Recommendation;2023 30th Asia-Pacific Software Engineering Conference (APSEC);2023-12-04

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

5. Predicting Quality of Services Based on a Two-Stream Deep Learning Model With User and Service Graphs;IEEE Transactions on Services Computing;2023-11

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