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Faculty & Research

Optimizing Audio Recommendations for the Long-Term

20 Feb
2023
3:00 pm - 4:00 pm
Jouy-en-Josas
English

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2023-02-20T15:00:00 2023-02-20T16:00:00 Optimizing Audio Recommendations for the Long-Term Information Systems and Operations Management (ISOM) Department  Speaker : Lucas MAYSTRE, Research scientist at SPOTIFY in Room Bernard Ramanantsoa Jouy-en-Josas

Information Systems and Operations Management (ISOM) Department 

Speaker : Lucas MAYSTRE, Research scientist at SPOTIFY

in Room Bernard Ramanantsoa

Abstract

"Recommender systems are an essential feature of online streaming services. Most often, the product goal is to enable satisfying recurring user interactions, and is best expressed in terms of long-term user satisfaction. In practice, however, algorithms that power these recommender systems optimize narrow, short-term metrics such as click-through rate or session length. In this talk, I will present recent work from Spotify that attempts to bridge that gap."

Bio

Lucas Maystre is a research scientist at Spotify, working on improving users' long-term engagement and satisfaction. His research interests revolve around probabilistic modeling, causal inference and reinforcement learning. He received a PhD from EPFL, supported by a Google fellowship in Machine Learning.

Web site: https://lucas.maystre.ch.

Participate

Add to calendar
2023-02-20T15:00:00 2023-02-20T16:00:00 Optimizing Audio Recommendations for the Long-Term Information Systems and Operations Management (ISOM) Department  Speaker : Lucas MAYSTRE, Research scientist at SPOTIFY in Room Bernard Ramanantsoa Jouy-en-Josas