Name
Abstract | ||
|---|---|---|
•The work addresses the problem of recovering a partially filled matrix.•It uses deep matrix factorization for this imputation task.•Application on the practical problem of collaborative filtering shows state-of-the-art results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.sigpro.2019.107366 | Signal Processing |
Keywords | Field | DocType |
Deep learning,Latent semantic analysis,Collaborative filtering,Recommender systems | Recommender system,Mathematical optimization,Collaborative filtering,Artificial intelligence,Deep learning,Factor analysis,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
169 | 0165-1684 | 4 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aanchal Mongia | 1 | 5 | 2.09 |
| Neha Jhamb | 2 | 4 | 0.39 |
| Emilie Chouzenoux | 3 | 202 | 26.37 |
| A. Majumdar | 4 | 644 | 75.83 |