15 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
Farnoosh Javadi, Phanideep Gampa, Alyssa Woo +5
Streaming services have reshaped how we discover and engage with digital entertainment. Despite these advancements, effectively understanding the wide spectrum of user search queri…
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…
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…
BanditRank: Learning to Rank Using Contextual Bandits
Phanideep Gampa, Sumio Fujita
We propose an extensible deep learning method that uses reinforcement learning to train neural networks for offline ranking in information retrieval (IR). We call our method Bandit…