3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 3 cited
CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems
Ameya Raul, Amey Porobo Dharwadker, Brad Schumitsch
Learning large-scale industrial recommender system models by fitting them to historical user interaction data makes them vulnerable to conformity bias. This may be due to a number…
cs.IR2023★ 3 cited
PIE: Personalized Interest Exploration for Large-Scale Recommender Systems
Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Romil Shah +3
Recommender systems are increasingly successful in recommending personalized content to users. However, these systems often capitalize on popular content. There is also a continuou…