1.1k citations · 1.2k across the 20 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023★ 2 cited
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
Smitha Milli, Emma Pierson, Nikhil Garg
Many recommender systems optimize a linear weighting of different user behaviors, such as clicks, likes, and shares. We analyze the optimal choice of weights from the perspectives…
cs.LG2018★ 5 cited
Designing Optimal Binary Rating Systems
Nikhil Garg, Ramesh Johari
Modern online platforms rely on effective rating systems to learn about items. We consider the optimal design of rating systems that collect binary feedback after transactions. We…