Author:
Bai Bing,Fan Yushun,Huang Keman,Tan Wei,Xia Bofei,Chen Shuhui
Cited by
25 articles.
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1. RLISR: A Deep Reinforcement Learning Based Interactive Service Recommendation Model;IEEE Access;2024
2. Service Recommendations for Mashup Based on Generation Model;IEEE Transactions on Services Computing;2023
3. What Is Next? A Generative Approach for Service Composition Recommendations;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12
4. Time-aware Service Recommendation with Social-powered Graph Hierarchical Attention Network;IEEE Transactions on Services Computing;2022
5. Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network;2021 IEEE International Conference on Web Services (ICWS);2021-09