MMLL webinar III: Personalization at Spotify

The Mercury Machine Learning Lab (MMLL) would like to invite you to the MMLL online seminar series. In this series of four webinars, the lab will focus on causality, information retrieval, natural language processing, and reinforcement learning.

In this third webinar Prof. dr. Mounia Lalmas will be the keynote speaker and give a presentation on personalization at Spotify.

Program

15.00: Introduction of the Mercury Machine Learning Lab by Prof. dr. Maarten de Rijke (UvA)

15.05: Prof. dr. Mounia Lalmas-Roelleke (Spotify) presents “Personalization at Spotify: Enriching Life Through Audio”

15.45: Q&A

16.00: End

Abstract

‘Personalization at Spotify: Enriching Life Through Audio’

The aim of the Personalization mission at Spotify is to “connect listeners and creators in a unique and enriching way”. This talk will describe some of the (research) work to achieve this, from using machine learning to metric validation and understanding listening diversity. The talk will present Spotify’s long-term vision in “enriching life through audio”.

Bio:

Mounia Lalmas-Roelleke is a Director of Research at Spotify, and the Head of Tech Research in Personalisation, where she leads an interdisciplinary team of research scientists, working on personalization and discovery. Mounia also holds an honorary professorship at University College London. In January 2022, she took an additional appointment as a Distinguished Research Fellow at the University of Amsterdam. Before that, she was a Director of Research at Yahoo, where she led a team of researchers working on advertising quality. She also worked with various teams at Yahoo on topics related to user engagement in the context of news, search, and user-generated content. Prior to this, she held a Microsoft Research/RAEng Research Chair at the School of Computing Science, University of Glasgow. Before that, she was Professor of Information Retrieval at the Department of Computer Science at Queen Mary, University of London.

More info about this series
Each event will last one hour, with a 5-minute intro by one of the lab representatives about the lab and its objectives, 40-minute talk by the keynote speaker, and a 15 minute Q&A session.

The last webinar is planned for the following date:

· May 12th 15:00-16:00 Prof. dr. André Martins (LST Lisbon) on natural language processing

Date

21 Apr 2022
PAST EVENT

Time

15:00 - 16:00

More Info

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Labels

LAB EVENT

Location

Online Event
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