15 citations · 18 across the 8 of their papers we have counts for
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cs.IR2023
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations
Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar +1
Various data imbalances that naturally arise in a multi-territory personalized recommender system can lead to a significant item bias for globally prevalent items. A locally popula…
cs.IR2023
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations
Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina +1
Current multi-armed bandit approaches in recommender systems (RS) have focused more on devising effective exploration techniques, while not adequately addressing common exploitatio…