Michael Ekstrand

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Joseph A. KonstanUniversity of MinnesotaEmail yang diverifikasi di umn.edu
John RiedlProfessor of Computer Science, University of MinnesotaEmail yang diverifikasi di umn.edu
Fernando DiazCarnegie Mellon UniversityEmail yang diverifikasi di acm.org
Maria Soledad PeraAssociate Professor - Web Information Systems Group - TU DelftEmail yang diverifikasi di TUDelft.nl
Robin BurkeUniversity of Colorado, BoulderEmail yang diverifikasi di colorado.edu
Amifa RajMicrosoftEmail yang diverifikasi di u.boisestate.edu
Martijn C. WillemsenEindhoven University of Technology & JADSEmail yang diverifikasi di tue.nl
Daniel KluverUniversity of MinnesotaEmail yang diverifikasi di cs.umn.edu
Mucun TianScience at SiriusXM/PandoraEmail yang diverifikasi di pandora.com
Hoda MehrpouyanAssociate Professor of Computer Science at Boise State UniversityEmail yang diverifikasi di boisestate.edu
F. Maxwell HarperPinterestEmail yang diverifikasi di amazon.com
Michael LudwigPhD candidate, University of MinnesotaEmail yang diverifikasi di cs.umn.edu
Asia J. BiegaTenure-track Faculty @ Max Planck Institute for Security and PrivacyEmail yang diverifikasi di mpi-sp.org
Ben CarteretteSpotifyEmail yang diverifikasi di spotify.com
Anubrata DasPhD Candidate, University of Texas at AustinEmail yang diverifikasi di utexas.edu
Ion Madrazo AzpiazuResearch Assistant, Boise State UniversityEmail yang diverifikasi di u.boisestate.edu
Bhaskar MitraPrincipal Researcher, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Nasim SonboliComputing Innovation Postdoctoral Fellow at Brown UniversityEmail yang diverifikasi di brown.edu
Katherine Landau WrightUniversity of OregonEmail yang diverifikasi di uoregon.edu
Lex BeattieSpotifyEmail yang diverifikasi di spotify.com

Ikuti

Michael Ekstrand

Asst. Professor of Information Science, Drexel University

Email yang diverifikasi di drexel.edu - Beranda

information retrieval recommender systems ethics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Collaborative filtering recommender systems MD Ekstrand, JT Riedl, JA Konstan Foundations and Trends® in Human–Computer Interaction 4 (2), 81-173, 2011	1748	2011
All the cool kids, how do they fit in?: Popularity and demographic biases in recommender evaluation and effectiveness MD Ekstrand, M Tian, IM Azpiazu, JD Ekstrand, O Anuyah, D McNeill, ... Conference on fairness, accountability and transparency, 172-186, 2018	304	2018
User perception of differences in recommender algorithms MD Ekstrand, FM Harper, MC Willemsen, JA Konstan Proceedings of the 8th ACM Conference on Recommender systems, 161-168, 2014	291	2014
Rethinking the recommender research ecosystem: reproducibility, openness, and lenskit MD Ekstrand, M Ludwig, JA Konstan, JT Riedl Proceedings of the fifth ACM conference on Recommender systems, 133-140, 2011	255	2011
Exploring author gender in book rating and recommendation MD Ekstrand, M Tian, MRI Kazi, H Mehrpouyan, D Kluver Proceedings of the 12th ACM conference on recommender systems, 242-250, 2018	203	2018
Fairness in information access systems MD Ekstrand, A Das, R Burke, F Diaz Foundations and Trends® in Information Retrieval 16 (1-2), 1-177, 2022	200*	2022
Evaluating stochastic rankings with expected exposure F Diaz, B Mitra, MD Ekstrand, AJ Biega, B Carterette Proceedings of the 29th ACM international conference on information …, 2020	196	2020
Rating-based collaborative filtering: algorithms and evaluation D Kluver, MD Ekstrand, JA Konstan Social information access: Systems and technologies, 344-390, 2018	154	2018
Behaviorism is not enough: better recommendations through listening to users MD Ekstrand, MC Willemsen Proceedings of the 10th ACM conference on recommender systems, 221-224, 2016	147	2016
Letting users choose recommender algorithms: An experimental study MD Ekstrand, D Kluver, FM Harper, JA Konstan Proceedings of the 9th ACM Conference on Recommender Systems, 11-18, 2015	137	2015
Automatically building research reading lists MD Ekstrand, P Kannan, JA Stemper, JT Butler, JA Konstan, JT Riedl Proceedings of the fourth ACM conference on Recommender systems, 159-166, 2010	125	2010
Teaching recommender systems at large scale: Evaluation and lessons learned from a hybrid MOOC JA Konstan, JD Walker, DC Brooks, K Brown, MD Ekstrand ACM Transactions on Computer-Human Interaction (TOCHI) 22 (2), 1-23, 2015	116	2015
Lenskit for Python: Next-generation software for recommender systems experiments MD Ekstrand Proceedings of the 29th ACM international conference on information …, 2020	105	2020
Privacy for all: Ensuring fair and equitable privacy protections MD Ekstrand, R Joshaghani, H Mehrpouyan Conference on fairness, accountability and transparency, 35-47, 2018	104	2018
When recommenders fail: predicting recommender failure for algorithm selection and combination M Ekstrand, J Riedl Proceedings of the sixth ACM conference on Recommender systems, 233-236, 2012	90	2012
Building human values into recommender systems: An interdisciplinary synthesis J Stray, A Halevy, P Assar, D Hadfield-Menell, C Boutilier, A Ashar, ... ACM Transactions on Recommender Systems 2 (3), 1-57, 2024	74	2024
Measuring fairness in ranked results: An analytical and empirical comparison A Raj, MD Ekstrand Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022	67	2022
Rating support interfaces to improve user experience and recommender accuracy TT Nguyen, D Kluver, TY Wang, PM Hui, MD Ekstrand, MC Willemsen, ... Proceedings of the 7th ACM Conference on Recommender Systems, 149-156, 2013	60	2013
Fairness and discrimination in retrieval and recommendation MD Ekstrand, R Burke, F Diaz Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019	56	2019
Searching for software learning resources using application context M Ekstrand, W Li, T Grossman, J Matejka, G Fitzmaurice Proceedings of the 24th annual ACM symposium on User interface software and …, 2011	56	2011

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