Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems

Understand

Online platforms such as YouTube, Instagram heavily rely on recommender systems to decide what content to present to users.

• Producers, in turn, often create content that is likely to be recommended to users and have users engage with it.
• To do so, producers try to align their content with the preferences of their targeted user base.
• In this work, we explore the equilibrium behavior of producers who are interested in maximizing user engagement.