Multi-objective 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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
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IEEE Access
2022
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