Multiobjective deep reinforcement learning for recommendation systems
Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other non-accuracy metrics such as novelty and diversity should not be overlooked. Existing multi-objective (MO) RSs employed collaborative filteri...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2022
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/102256/ |