Robin Burke

Robin Burke

University of Colorado Boulder

H-index: 69

North America-United States

About Robin Burke

Robin Burke, With an exceptional h-index of 69 and a recent h-index of 44 (since 2020), a distinguished researcher at University of Colorado Boulder, specializes in the field of Artificial Intelligence, Personalization, Recommender Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

RecSOI: recommending research directions using statements of ignorance

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF

6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation

Dynamic fairness-aware recommendation through multi-agent social choice

“It’s just a robot that looks at numbers”: Restoring Journalistic Voice in News Recommendation

Multistakeholder recommender systems

A performance-preserving fairness intervention for adaptive microfinance recommendation

Robin Burke Information

University

Position

___

Citations(all)

24782

Citations(since 2020)

9401

Cited By

18835

hIndex(all)

69

hIndex(since 2020)

44

i10Index(all)

160

i10Index(since 2020)

119

Email

University Profile Page

University of Colorado Boulder

Google Scholar

View Google Scholar Profile

Robin Burke Skills & Research Interests

Artificial Intelligence

Personalization

Recommender Systems

Top articles of Robin Burke

Title

Journal

Author(s)

Publication Date

RecSOI: recommending research directions using statements of ignorance

Journal of Biomedical Semantics

Adrien Bibal

Nourah M Salem

Rémi Cardon

Elizabeth K White

Daniel E Acuna

...

2024/4/22

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF

arXiv preprint arXiv:2309.08621

Amanda Aird

Cassidy All

Paresha Farastu

Elena Stefancova

Joshua Sun

...

2023/9/10

6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)

Bamshad Mobasher

Styliani Kleanthous

Jahna Otterbacher

Robin Burke

Avital Shulner Tal

2023/6/16

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation

Jessie J Smith

Anas Buhayh

Anushka Kathait

Pradeep Ragothaman

Nicholas Mattei

...

2023/6/12

Dynamic fairness-aware recommendation through multi-agent social choice

arXiv preprint arXiv:2303.00968

Amanda Aird

Paresha Farastu

Joshua Sun

Elena Štefancová

Cassidy All

...

2023/3/2

“It’s just a robot that looks at numbers”: Restoring Journalistic Voice in News Recommendation

Proceedings of the Eleventh International Workshop on News Recommendation and Analytics. CEUR Workshop Proceedings

Nihal Alaqabawy

Aishwarya Satwani

Amy Voida

Robin Burke

2023

Multistakeholder recommender systems

Himan Abdollahpouri

Robin Burke

2021/11/22

A performance-preserving fairness intervention for adaptive microfinance recommendation

KDD Workshop on Online and Adaptive Recommender Systems at the 28th SIGKDD Conference on Knowledge Discovery and Data Mining

Robin Burke

Pradeep Ragothaman

Nicholas Mattei

Brian Kimmig

Amy Voida

...

2022/7

Recommender Systems and Algorithmic Hate

Jessie J Smith

Lucia Jayne

Robin Burke

2022/9/18

Personalization, Fairness, and Post-Userism

Robin Burke

2022

The multisided complexity of fairness in recommender systems

AI Magazine

Nasim Sonboli

Robin Burke

Michael Ekstrand

Rishabh Mehrotra

2022/6

Who Pays? Personalization, Bossiness and the Cost of Fairness

arXiv preprint arXiv:2209.04043

Paresha Farastu

Nicholas Mattei

Robin Burke

2022/9/8

Personalized recommendation of PoIs to people with autism: technical perspective

Noemi Mauro

Liliana Ardissono

Federica Cena

2020/7/7

Fairness in Information Access Systems

Foundations and Trends® in Information Retrieval

Michael D Ekstrand

Anubrata Das

Robin Burke

Fernando Diaz

2022/7/10

Can separate optimization be equal? Joint vs multi-stage optimization in recommender systems fairness

Shreyas Kadekodi

Amanda Aird

Trevor Ward

Robin Burke

2022

Multi-agent Social Choice for Dynamic Fairness-aware Recommendation

Robin Burke

Nicholas Mattei

Vladislav Grozin

Amy Voida

Nasim Sonboli

2022/7/4

Fairness in recommender systems

Michael D Ekstrand

Anubrata Das

Robin Burke

Fernando Diaz

2022

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

Styliani Kleanthous

Bamshad Mobasher

Tsvika Kuflik

Bettina Berendt

Robin Burke

...

2022/7/4

FAccTRec 2022: The 5th Workshop on Responsible Recommendation

Nasim Sonboli

Toshihiro Kamishima

Amifa Raj

Luca Belli

Robin Burke

2022/9/18

Towards an Experimental News User Community as Infrastructure for Recommendation Research

Proceedings of INRA'21: 9th International Workshop on News Recommendation and Analytics

Joseph A Konstan

Robin Burke

Edward C Malthouse

2021/9

See List of Professors in Robin Burke University(University of Colorado Boulder)

Co-Authors

H-index: 81
Bamshad Mobasher

Bamshad Mobasher

DePaul University

H-index: 55
Kristian Hammond

Kristian Hammond

North Western University

H-index: 52
Gediminas Adomavicius

Gediminas Adomavicius

University of Minnesota-Twin Cities

H-index: 50
Mykola Pechenizkiy

Mykola Pechenizkiy

Technische Universiteit Eindhoven

H-index: 48
Alexander Felfernig

Alexander Felfernig

Technische Universität Graz

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