Archive for October, 2022

Returning Top-K : Preference Aggregation or Sortition, or is there a Better Middle Ground?

Given a large number of users’ preferences (numerical or ordinal scores, ranked order) over a large number of objects,  returning top-k results entails selecting a small list/set containing exactly k objects that are most “appropriate “. In this article,  I will investigate two alternatives for selecting a top-k list/set that consumes such preference based inputs. […]