Robin Burke

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 94

Top Venues

CoRR

RecSys

UMAP

UMAP (Adjunct Publication)

Publications

Jessie J. Smith, Aishwarya Satwani, Robin Burke, Casey Fiesler
Recommend Me? Designing Fairness Metrics with Providers. FAccT (2024)
Adrien Bibal, Nourah M. Salem, Rémi Cardon, Elizabeth K. White, Daniel E. Acuna, Robin Burke, Lawrence E. Hunter
RecSOI: recommending research directions using statements of ignorance. J. Biomed. Semant. 15 (1) (2024)
Amanda Aird, Paresha Farastu, Joshua Sun, Amy Voida, Nicholas Mattei, Robin Burke
Dynamic fairness-aware recommendation through multi-agent social choice. CoRR (2023)
Bamshad Mobasher, Styliani Kleanthous, Jahna Otterbacher, Robin Burke, Avital Shulner-Tal
6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023). UMAP (Adjunct Publication) (2023)
Nihal Alaqabawy, Aishwarya Satwani, Amy Voida, Robin Burke
"It's just a robot that looks at numbers": Restoring Journalistic Voice in News Recommendation. INRA@RecSys (2023)
Amanda Aird, Cassidy All, Paresha Farastu, Elena Stefancova, Joshua Sun, Nicholas Mattei, Robin Burke
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF. CoRR (2023)
Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. FAccT (2023)
Jessie J. Smith, Lucia Jayne, Robin Burke
Recommender Systems and Algorithmic Hate. CoRR (2022)
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
Fairness in Information Access Systems. Found. Trends Inf. Retr. 16 (1-2) (2022)
Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke
FAccTRec 2022: The 5th Workshop on Responsible Recommendation. RecSys (2022)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Trans. Inf. Syst. 40 (2) (2022)
Jessie J. Smith, Lucia Jayne, Robin Burke
Recommender Systems and Algorithmic Hate. RecSys (2022)
Robin Burke
Personalized recommendation of PoIs to people with autism: technical perspective. Commun. ACM 65 (2) (2022)
Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner Tal
5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). UMAP (Adjunct Publication) (2022)
Robin Burke, Nicholas Mattei, Vladislav Grozin, Amy Voida, Nasim Sonboli
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation. UMAP (Adjunct Publication) (2022)
Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra
The Multisided Complexity of Fairness in Recommender Systems. AI Mag. 43 (2) (2022)
Paresha Farastu, Nicholas Mattei, Robin Burke
Who Pays? Personalization, Bossiness and the Cost of Fairness. CoRR (2022)
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
Fairness and Transparency in Recommendation: The Users' Perspective. CoRR (2021)
Ian Burke, Robin Burke, Goran Kuljanin
Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition. HR@RecSys (2021)
Joseph A. Konstan, Robin Burke, Edward C. Malthouse
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys (2021)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter Is Better: Percentile Transformations for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. RecSys (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR (2021)
Robin Burke, Michael D. Ekstrand, Nava Tintarev, Julita Vassileva
Preface to the special issue on fair, accountable, and transparent recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
Fairness and Discrimination in Information Access Systems. CoRR (2021)
Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
librec-auto: A Tool for Recommender Systems Experimentation. CIKM (2021)
Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze
User Factor Adaptation for User Embedding via Multitask Learning. CoRR (2021)
Robin Burke, Cristina Gena, Tsvi Kuflik, Ilaria Torre
Virtual ACM UMAP 2020: the 28th conference on user modeling, adaptation, and personalization. SIGWEB Newsl. 2021 (Winter) (2021)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. CoRR (2021)
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. CoRR (2021)
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
Fairness and Transparency in Recommendation: The Users' Perspective. UMAP (2021)
Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke
Exploring User Opinions of Fairness in Recommender Systems. CoRR (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. CoRR (2020)
Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
Fairness-aware Recommendation with librec-auto. RecSys (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. UMAP (2020)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems. WI/IAT (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. CoRR (2020)
Carole-Jean Wu, Robin Burke, Ed Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang
Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR (2020)
John Shanahan, Robin Burke, Ana Lucic
Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program. Digit. Humanit. Q. 14 (2) (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CoRR (2020)
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. RecSys (2020)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. HT (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CIKM (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. CoRR (2020)
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato
Multistakeholder recommendation: Survey and research directions. User Model. User Adapt. Interact. 30 (1) (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP (2020)
Himan Abdollahpouri, Robin Burke, Masoud Mansoury
Unfair Exposure of Artists in Music Recommendation. CoRR (2020)
Himan Abdollahpouri, Robin Burke
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. CoRR (2019)
Himan Abdollahpouri, Robin Burke
Reducing Popularity Bias in Recommendation Over Time. CoRR (2019)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. RMSE@RecSys (2019)
Masoud Mansoury, Robin Burke
Algorithm Selection with Librec-auto. AMIR@ECIR (2019)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter is better: Percentile Transformations for Recommender Systems. CoRR (2019)
Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang
Personalized fairness-aware re-ranking for microlending. RecSys (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. CoRR (2019)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the volume: preference bias amplification in collaborative recommendation. CoRR (2019)
Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
RMSE: Workshop on Recommendation in Multi-stakeholder Environments. RMSE@RecSys (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. RMSE@RecSys (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR (2019)
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato
Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR (2019)
Michael D. Ekstrand, Robin Burke, Fernando Diaz
Fairness and Discrimination in Retrieval and Recommendation. SIGIR (2019)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. CoRR (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019)
Michael D. Ekstrand, Robin Burke, Fernando Diaz
Fairness and discrimination in recommendation and retrieval. RecSys (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. CoRR (2019)
Himan Abdollahpouri, Robin Burke
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. RMSE@RecSys (2019)
Ana Lucic, Robin Burke, John Shanahan
Unsupervised Clustering with Smoothing for Detecting Paratext Boundaries in Scanned Documents. JCDL (2019)
Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric
A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. RMSE@RecSys (2019)
Bettina Berendt, Veronika Bogina, Robin Burke, Michael D. Ekstrand, Alan Hartman, Styliani Kleanthous, Tsvi Kuflik, Bamshad Mobasher, Jahna Otterbacher
FairUMAP 2019 Chairs' Welcome Overview. UMAP (Adjunct Publication) (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. RMSE@RecSys (2019)
Nasim Sonboli, Robin Burke
Localized Fairness in Recommender Systems. UMAP (Adjunct Publication) (2019)
Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
Recommendation in multistakeholder environments. RecSys (2019)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. FLAIRS Conference (2019)
Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR (2019)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. HAIS (2018)
Özge Sürer, Robin Burke, Edward C. Malthouse
Multistakeholder recommendation with provider constraints. RecSys (2018)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Value-Aware Item Weighting for Long-Tail Recommendation. CoRR (2018)
Robin Burke, Jackson Kontny, Nasim Sonboli
Synthetic Attribute Data for Evaluating Consumer-side Fairness. CoRR (2018)
Masoud Mansoury, Robin Burke, Aldo Ordonez-Gauger, Xavier Sepulveda
Automating recommender systems experimentation with librec-auto. RecSys (2018)
Weiwen Liu, Robin Burke
Personalizing Fairness-aware Re-ranking. CoRR (2018)
Robin Burke, Nasim Sonboli, Aldo Ordonez-Gauger
Balanced Neighborhoods for Multi-sided Fairness in Recommendation. FAT (2018)
Bamshad Mobasher, Robin Burke, Michael D. Ekstrand, Bettina Berendt
UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface. UMAP (Adjunct Publication) (2018)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Controlling Popularity Bias in Learning-to-Rank Recommendation. RecSys (2017)
Farzad Eskandanian, Bamshad Mobasher, Robin Burke
A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. UMAP (2017)
Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang, Himan Abdollahpouri
VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. RecSys (2017)
Robin Burke
Multisided Fairness for Recommendation. CoRR (2017)
Laura Christiansen, Bamshad Mobasher, Robin Burke
Using Uncertain Graphs to Automatically Generate Event Flows from News Stories. HT (Extended Proceedings) (2017)
Robin Burke, Ana Lucic, John Shanahan
Circulation Modeling of Library Book Promotions. JCDL (2017)
Fatemeh Vahedian, Robin Burke, Bamshad Mobasher
Multirelational Recommendation in Heterogeneous Networks. ACM Trans. Web 11 (3) (2017)
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Recommender Systems as Multistakeholder Environments. UMAP (2017)
Robin Burke, Himan Abdollahpouri
Patterns of Multistakeholder Recommendation. CoRR (2017)
Yong Zheng, Bamshad Mobasher, Robin Burke
User-Oriented Context Suggestion. UMAP (2016)
Negar Hariri, Bamshad Mobasher, Robin Burke
Adapting to User Preference Changes in Interactive Recommendation. IJCAI (2015)
Cynthia Putnam, Jinghui Cheng, Doris C. Rusch, André Berthiaume, Robin Burke
Supporting therapists in motion-based gaming for brain injury rehabilitation. CHI Extended Abstracts (2013)
Robin Burke
, by Dietmar Jannach, Markus Zanker, Alexander Felfernig, and Gerhard FriedrichCambridge University Press, 2011, 336 pages. ISBN: 978-0-521-49336-9. Int. J. Hum. Comput. Interact. 28 (1) (2012)
Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng
Context-Aware Recommendation Based On Review Mining. ITWP@IJCAI (2011)
Robin Burke, Yong Zheng, Scott Riley
Experience Discovery: hybrid recommendation of student activities using social network data. HetRec@RecSys (2011)
Ahu Sieg, Bamshad Mobasher, Robin Burke
Improving the effectiveness of collaborative recommendation with ontology-based user profiles. HetRec@RecSys (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robin Burke