Deep learning-based recommendation system: systematic review and classification

C Li, I Ishak, H Ibrahim, M Zolkepli, F Sidi, C Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

A Survey on Bundle Recommendation: Methods, Applications, and Challenges

M Sun, L Li, M Li, X Tao, D Zhang, P Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, bundle recommendation systems have gained significant attention in both
academia and industry due to their ability to enhance user experience and increase sales by …

A novel blockchain-based responsible recommendation system for service process creation and recommendation

T Gao, L Duan, L Feng, W Ni, QZ Sheng - ACM Transactions on …, 2024 - dl.acm.org
Service composition platforms play a crucial role in creating personalized service processes.
Challenges, including the risk of tampering with service data during service invocation and …

Service recommendation based on contrastive learning and multi-task learning

T Yu, L Zhang, H Liu, H Liu, JJ Wang - Computer Communications, 2024 - Elsevier
Abstract Service recommendation is an efficient method for service-oriented software that
can improve software quality. Applications often require the integration of multiple services …

PRKG: pre-training representation and knowledge-graph-enhanced Web service recommendation for Mashup creation

B Cao, M Peng, Z **e, J Liu, H Ye, B Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The number of online services is rapidly increasing due to the increased adoption of
services-oriented technology. In this context, recommendation systems can provide high …

Heterogeneous graph condensation

J Gao, J Wu, J Ding - IEEE Transactions on Knowledge and …, 2024 - ieeexplore.ieee.org
Graph neural networks greatly facilitate data processing in homogeneous and
heterogeneous graphs. However, training GNNs on large-scale graphs poses a significant …

Service Recommendations for Mashup Based on Generation Model

G Fan, S Chen, Q He, H Wu, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Service recommendations are crucial for developers to create mashups such as mobile
applications, workflows, e-business solutions, etc. Existing methods based on collaborative …

Light Heterogeneous Hypergraph Contrastive Learning Based Service Recommendation for Mashup Creation

M Tang, J Mai, F **e, Z Zheng - IEEE Transactions on Services …, 2024 - ieeexplore.ieee.org
Mashup technology enables developers to create new applications more readily by
combining existing services. As its popularity grows, research on service recommendation …

Cross-view Graph Alignment for Mashup Recommendation

C Wei, Y Fan, Z Jia, J Zhang - IEEE Transactions on Services …, 2024 - ieeexplore.ieee.org
As the adoption of Service-Oriented Computing continues to grow, the number of web
services has increased significantly, which makes service recommendation become an …

[HTML][HTML] Microservice Workflow Scheduling with a Resource Configuration Model Under Deadline and Reliability Constraints

W Li, X Li, L Chen, M Wang - Sensors, 2025 - mdpi.com
With the continuous evolution of microservice architecture and containerization technology,
the challenge of efficiently and reliably scheduling large-scale cloud services has become …