Name
Title | ||
|---|---|---|
QoS Prediction for Web Services via Combining Multi-component Graph Convolutional Collaborative Filtering and Deep Factorization Machine |
Abstract | ||
|---|---|---|
QoS prediction for Web Services is becoming increasingly important for various QoS-aware Web Services management tasks. However, the existing methods for QoS prediction of Web Services have some drawbacks, such as poor performance in dealing with data sparsity, insufficient consideration of latent information in user-service interaction behavior, and no consideration on discriminating the weight o... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICWS53863.2021.00076 | 2021 IEEE International Conference on Web Services (ICWS) |
Keywords | DocType | ISBN |
Web Service,Graph Neural Network,Collaborative Filtering,QoS Prediction,Deep Factorization Machine | Conference | 978-1-6654-1681-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linghang Ding | 1 | 0 | 0.34 |
| Kang, G. | 2 | 29 | 5.56 |
| Jianxun Liu | 3 | 640 | 67.12 |
| Yong Xiao | 4 | 1 | 1.38 |
| Buqing Cao | 5 | 200 | 23.96 |