Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Please log in

Recommending and searching at Spotify

Mounia Lalmas (Spotify)
11:1511:55 Wednesday, 1 May 2019
Data Science, Machine Learning & AI, Expo Hall
Location: Expo Hall (Capital Hall N24)
Average rating: ****.
(4.16, 19 ratings)

What you'll learn

  • Learn how Spotify matches fans and artists in a personal and relevant way


Spotify’s mission is “to match fans and artists in a personal and relevant way.” Mounia Lalmas shares some of the (research) work the company is doing to achieve this, from using machine learning to metric validation, illustrated through examples within the context of home and search.

Photo of Mounia Lalmas

Mounia Lalmas


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.”