Ekaterina (Kat) Filadova
PhD student in MIT EECS studying strategic learning and algorithmic game theory, focusing on how users adapt to and can collectively influence recommender systems and collaborative filtering.
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Feb 27, 2026 • 55min
Collective Altruism in Recommender Systems
Ekaterina (Kat) Filadova, a PhD student in MIT EECS studying strategic learning and algorithmic game theory. She explores how users can coordinate to influence recommender systems. Topics include framing recommenders as multi‑agent games, collective altruism that helps underrepresented content, challenges in distinguishing coordinated behavior from bots, and empirical tests showing collectives can improve minority items.
