Scholar
Himan Abdollahpouri
Google Scholar ID: g0eIPRkAAAAJ
Senior Research Scientist at Spotify
Citations & Impact
Citations
3,742
H-index
24
i10-index
36
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- His research in popularity bias and multi-stakeholder recommender systems has garnered more than 1600 citations since 2017. He has published several papers, including 'Calibrated Recommendations as a Minimum-Cost Flow Problem' (WSDM 2023).
Research Experience
- At Spotify, he works on personalization and recommendation algorithms that impact the experience of hundreds of millions of users. Previously, he was a Postdoctoral Fellow at the Spiegel Research Center at Northwestern University, working on personalization and recommender systems for media and news.
Education
- Ph.D. in Information & Computer Science from the University of Colorado Boulder in 2020, supervised by Prof. Robin Burke.
Background
- A Senior Research Scientist at Spotify, focusing on personalization and recommendation algorithms. Prior to Spotify, he was a Postdoctoral Fellow at the Spiegel Research Center at Northwestern University, working on personalization and recommender systems for media and news. His research is particularly known for his work on popularity bias in recommender systems and developing algorithms to address such bias from the perspective of multiple stakeholders.
Miscellany
- Enjoys yoga, calligraphy, mountains, walking in New York City, cooking, traveling around the world, and exploring new coffeeshops & restaurants.
Co-authors