Rebecca Salganik

Rebecca Salganik, a PhD student at the University of Rochester, combines her passion for music with cutting-edge research in recommender systems. She highlights the challenges of fairness, including popularity bias and multi-interest bias in music recommendations. Her innovative LARP framework enhances playlist continuity using both audio and textual data. By creating the Music Semantics dataset, she captures authentic music descriptions from listeners, paving the way for more personalized music experiences and improved algorithmic recommendations.