Modeling User Exploration Saturation: When Recommender Systems Should Stop Pushing Novelty
arXiv:2604.16419v1 Announce Type: cross
Abstract: Fairness-aware recommender systems often mitigate bias by increasing exposure to under-represented or long-tail content, commonly through mechanisms that promote novelty and diversity. In practice, the…