Mounia Lalmas
Scholar

Mounia Lalmas

Google Scholar ID: wAr9G5sAAAAJ
Spotify
Personalization.
Citations & Impact
All-time
Citations
4,366
 
H-index
29
 
i10-index
75
 
Publications
20
 
Co-authors
175
list available
Resume (English only)
Academic Achievements
  • Published work on enhancing personalized recommendations using multi-armed contextual bandits at Spotify, showing improved performance via counterfactual evaluation methods when rewards are based on streaming time distribution thresholds; Developed a comprehensive set of features to characterize key aspects of native ad quality, such as aesthetic appeal, brand trustworthiness, clarity, etc., based on an empirical study.
Research Experience
  • Conducted research on personalization for Spotify's home page; Collaborated with Ke (Adam) Zhou, Miriam Redi, and Andy Haines on studying the pre-click quality of native advertisements.
Background
  • Focused on research in search, social media, and user engagement.