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Deep learning-based recommendation system: systematic review and classification
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 …
customer satisfaction and generate revenue in various domains, such as e-commerce and …
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
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 …
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
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 …
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 …
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
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 …
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 …
heterogeneous graphs. However, training GNNs on large-scale graphs poses a significant …
Service Recommendations for Mashup Based on Generation Model
Service recommendations are crucial for developers to create mashups such as mobile
applications, workflows, e-business solutions, etc. Existing methods based on collaborative …
applications, workflows, e-business solutions, etc. Existing methods based on collaborative …
Light Heterogeneous Hypergraph Contrastive Learning Based Service Recommendation for Mashup Creation
Mashup technology enables developers to create new applications more readily by
combining existing services. As its popularity grows, research on service recommendation …
combining existing services. As its popularity grows, research on service recommendation …
Cross-view Graph Alignment for Mashup Recommendation
As the adoption of Service-Oriented Computing continues to grow, the number of web
services has increased significantly, which makes service recommendation become an …
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 …
the challenge of efficiently and reliably scheduling large-scale cloud services has become …