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

Author:

Ryu DuksanORCID,Lee Kwangkyu,Baik JongmoonORCID

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

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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