Follow
Michael Ekstrand
Michael Ekstrand
Asst. Professor of Information Science, Drexel University
Verified email at drexel.edu - Homepage
Title
Cited by
Cited by
Year
Collaborative filtering recommender systems
MD Ekstrand, JT Riedl, JA Konstan
Foundations and Trends® in Human–Computer Interaction 4 (2), 81-173, 2011
17252011
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
2872018
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
2832014
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
2552011
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
2002018
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
1872020
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
182*2022
Rating-based collaborative filtering: algorithms and evaluation
D Kluver, MD Ekstrand, JA Konstan
Social information access: Systems and technologies, 344-390, 2018
1452018
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
1402016
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
1382015
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
1232010
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
1172015
Privacy for all: Ensuring fair and equitable privacy protections
MD Ekstrand, R Joshaghani, H Mehrpouyan
Conference on fairness, accountability and transparency, 35-47, 2018
1042018
Lenskit for Python: Next-generation software for recommender systems experiments
MD Ekstrand
Proceedings of the 29th ACM international conference on information …, 2020
1002020
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
882012
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
602024
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
602013
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
582022
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
562019
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
562011
The system can't perform the operation now. Try again later.
Articles 1–20