Understanding user listening behavior is essential for personalizing music listening experiences on Spotify. Mounia Lalmas explains how Spotify uses machine learning recommenders that take into account what and how users consume playlists and the rich diversity of playlist experiences.
Mounia Lalmas is a director of research and the head of tech research in personalization at Spotify. Her work focuses on studying user engagement in areas such as native advertising, digital media, social media, search, and music. Mounia also holds an honorary professorship at University College London. Previously, she was a director of research at Yahoo, where she led a team of researchers working on advertising quality for Gemini, Yahoo’s native advertising platform. She also worked with various teams at Yahoo on topics related to user engagement in the context of news, search, and user-generated content. She has given numerous talks and tutorials and is the coauthor of a book written as the outcome of her WWW 2013 tutorial on “measuring user engagement.”
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