- Draft

Popularity bias in recommender systems: a simple explanation

A draft plain-language explanation of popularity bias and why exposure matters in recommendation.

Popularity biasFairnessRecommender systems

This is a draft placeholder.

Working outline

  • Popular items tend to receive more interactions and more visibility.
  • Models can learn this pattern and reinforce it.
  • Exposure is not evenly distributed across items or creators.
  • Fairness discussions need careful definitions and measurement.

Notes to add

To be added: simple example, final wording, and references.