Brahim Ouhbi
Biographic Data
| ID | 8547608 |
|---|---|
| NAME | Brahim Ouhbi |
| GIVEN NAMES | Brahim |
| FAMILY NAME | Ouhbi |
| SIGNATURE | OUHBI B |
| AFFILIATIONS | Université Moulay Ismail de Meknes |
| ORCID | 0000-0002-6340-5617 |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A multi-criteria attention-LSTM approach for enhancing privacy and accuracy in recommender systems
There is a growing emphasis in research on multi-criteria recommender systems, aiming to deliver personalized recommendations aligned with users’ diverse preferences. Simultaneously, session-based recommender systems (RSs) have gained prominence for providing immediate, context-aware suggestions based on users’ ongoing session behavior. Despite the attention directed at session-based RSs, existing research predominantly fixates on historical data…
No prominent works on this page.
A multi-criteria attention-LSTM approach for enhancing privacy and accuracy in recommender systems
There is a growing emphasis in research on multi-criteria recommender systems, aiming to deliver personalized recommendations aligned with users’ diverse preferences. Simultaneously, session-based recommender systems (RSs) have gained prominence for providing immediate, context-aware suggestions based on users’ ongoing session behavior. Despite the attention directed at session-based RSs, existing research predominantly fixates on historical data…
Artificial Intelligence (1 work) · Collaborative filtering (1 work) · Computer Science (1 work) · Data mining (1 work) · Generative Adversarial Networks and Image Synthesis (1 work) · Information retrieval (1 work) · Machine learning (1 work) · Music and Audio Processing (1 work) · Recommender system (1 work) · Recommender Systems and Techniques (1 work)