Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems

Abstract

Recommender systems are key tools to push the consumption of items. Imbalances in the data distribution might affect the exposure given to providers, thus affecting their business and experience in the platform. In my work, I study the impact of data imbalances for the stakeholders, according to how recommendations are generated.