46 citations · 86 across the 10 of their papers we have counts for
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cs.HC2018
Designing Informative Rating Systems: Evidence from an Online Labor Market
Nikhil Garg, Ramesh Johari
Platforms critically rely on rating systems to learn the quality of market participants. In practice, however, these ratings are often highly inflated, and therefore not very infor…
cs.GT2018
Markets for Public Decision-making
Nikhil Garg, Ashish Goel, Benjamin Plaut
A public decision-making problem consists of a set of issues, each with multiple possible alternatives, and a set of competing agents, each with a preferred alternative for each is…
cs.LG2018
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…