Michael D. Ekstrand
Michael D. Ekstrand
Assistant Professor of Computer Science, Boise State University
Adresse e-mail validée de boisestate.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Collaborative filtering recommender systems
MD Ekstrand, JT Riedl, JA Konstan
Foundations and Trends in Human-Computer Interaction 4 (2), 81-173, 2011
10812011
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
1842011
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
1272014
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
1032010
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
812015
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
782015
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
582012
Rating-based collaborative filtering: algorithms and evaluation
D Kluver, MD Ekstrand, JA Konstan
Social Information Access, 344-390, 2018
492018
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
462011
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
392013
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
372016
How many bits per rating?
D Kluver, TT Nguyen, M Ekstrand, S Sen, J Riedl
Proceedings of the sixth ACM conference on Recommender systems, 99-106, 2012
362012
LensKit: a modular recommender framework
MD Ekstrand, M Ludwig, J Kolb, JT Riedl
Proceedings of the fifth ACM conference on Recommender systems, 349-350, 2011
362011
rv you're dumb: identifying discarded work in Wiki article history
MD Ekstrand, JT Riedl
Proceedings of the 5th international Symposium on Wikis and Open …, 2009
352009
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
332018
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
272018
Privacy for All: Ensuring Fair and Equitable Privacy Protections
MD Ekstrand, R Joshaghani, H Mehrpouyan
Conference on Fairness, Accountability and Transparency, 35-47, 2018
172018
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
JJ Levandoski, M Sarwat, MF Mokbel, MD Ekstrand
Proceedings of the 15th International Conference on Extending Database …, 2012
152012
RecBench: benchmarks for evaluating performance of recommender system architectures
JJ Levandoski, MD Ekstrand, MJ Ludwig, A Eldawy, MF Mokbel, JT Riedl
Proceedings of the VLDB Endowment 4 (11), 2011
132011
The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project
MD Ekstrand
arXiv preprint arXiv:1809.03125, 2018
122018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20