3 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
CAViaR: Context Aware Video Recommendations
Khushhall Chandra Mahajan, Aditya Palnitkar, Ameya Raul +1
Many recommendation systems rely on point-wise models, which score items individually. However, point-wise models generating scores for a video are unable to account for other vide…
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…