Name
Abstract | ||
|---|---|---|
Generative adversarial networks (GANs) have achieved a big success in collaborative filtering (CF). However, existing GAN-based methods in CF still suffer from the high-sparsity and cold-start problems; in addition, they also undergo the issues of excessive space complexity or inadequate training. In this article, we propose path2rec a novel adversarial path-based recommendation ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MIS.2020.3029708 | IEEE Intelligent Systems |
Keywords | DocType | Volume |
Training,Semantics,Intelligent systems,Complexity theory,Generative adversarial networks,Recommender systems,Gallium nitride | Journal | 36 |
Issue | ISSN | Citations |
6 | 1541-1672 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Ding | 1 | 297 | 36.06 |
| Bo-Wei Chen | 2 | 262 | 30.12 |
| Guibing Guo | 3 | 586 | 34.18 |
| Xiaochun Yang | 4 | 440 | 52.12 |