You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Multiobjective Deep Reinforcement Learning for Recommendation Systems
|
|---|---|
| Published in |
IEEE Access, June 2022
|
| DOI | 10.1109/access.2022.3181164 |
| Authors |
Ee Yeo Keat, Nurfadhlina Mohd Sharef, Razali Yaakob, Khairul Azhar Kasmiran, Erzam Marlisah, Norwati Mustapha, Maslina Zolkepli |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Unspecified | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 32% |
| Unspecified | 2 | 7% |
| Engineering | 2 | 7% |
| Unknown | 15 | 54% |