[NEW] Designing Recommender Systems with Reachability in Mind

Participatory Aproaches to Machine Learning Workshop @ ICML 2020, 2020

Sarah Dean, Mihaela Curmei, Benjamin Recht. 2020 https://people.eecs.berkeley.edu/~sarahdean/stochastic_reachability.pdf

Access to digital content is often mediated by recommendations, which are primarily designed to predict user preferences. We take an alternate view in this work, exploring mechanisms which determine the availability of content from the perspective of user agency. We introduce a notion of reachability and show how it is determined by preference scoring functions, item selection rules, and user interface decisions. Simulated experiments illustrate these insights.