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cs.IR2025
Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering
Yueqing Xuan, Kacper Sokol, Mark Sanderson +1
Recommenders built upon implicit collaborative filtering are typically trained to distinguish between users' positive and negative preferences. When direct observations of the latt…
cs.IR2023★ 1 cited
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
Yueqing Xuan, Kacper Sokol, Mark Sanderson +1
Recommender systems trained on implicit feedback data rely on negative sampling to distinguish positive items from negative items for each user. Since the majority of positive inte…