Name
Abstract | ||
|---|---|---|
•Wepresenta survey on concept factorization: from shallow to deep representation learning.•We survey the recent advances in CF methodologies and potential benchmarks by categorizing and summarizing the current methods.•We first review the root CF model, and then explorethe advancement of CF-based representation learning methods ranging from shallow to deep/multilayer cases.•Finally, we point out some future directions for CF-based representation learning.•Overall, this survey mainly aims to provide an insightful overview of theoretical basis and current developments in the field of CF. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ipm.2021.102534 | Information Processing & Management |
Keywords | DocType | Volume |
Survey,Concept factorization,Representation learning,Traditional single-layer CF,Deep/multilayer CF | Journal | 58 |
Issue | ISSN | Citations |
3 | 0306-4573 | 1 |
PageRank | References | Authors |
0.35 | 135 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhao Zhang | 1 | 938 | 65.99 |
| Yan Zhang | 2 | 1 | 0.35 |
| Mingliang Xu | 3 | 140 | 12.95 |
| li zhang | 4 | 49 | 8.10 |
| Yi Yang | 5 | 6873 | 271.72 |
| Shuicheng Yan | 6 | 9701 | 359.54 |