Disentanglement and Interpretability in Recommender Systems

Data Skeptic by Kyle Polich

Ervin Dervishaj, a PhD student at the University of Copenhagen, discusses his research on disentangled representation learning in recommender systems, finding that while disentanglement strongly correlates with interpret...View more