Michael D. Ekstrand

Orcid: 0000-0003-2467-0108

Affiliations:
  • Boise State University, ID, USA
  • Texas State University San Marcos, TX, USA
  • University of Minnesota Twin Cities, Minneapolis, MN, USA (PhD 2014)


According to our database1, Michael D. Ekstrand authored at least 80 papers between 2009 and 2024.

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Timeline

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Bibliography

2024
Distributionally-Informed Recommender System Evaluation.
Trans. Recomm. Syst., March, 2024

Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

2023
Seeking Information with a More Knowledgeable Other.
Interactions, 2023

Responsible AI Research Needs Impact Statements Too.
CoRR, 2023

Unified Browsing Models for Linear and Grid Layouts.
CoRR, 2023

Towards Measuring Fairness in Grid Layout in Recommender Systems.
CoRR, 2023

Candidate Set Sampling for Evaluating Top-N Recommendation.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Patterns of Gender-Specializing Query Reformulation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Inference at Scale: Significance Testing for Large Search and Recommendation Experiments.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

FAccTRec 2023: The 6th Workshop on Responsible Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2022
Fairness in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Fairness in Information Access Systems.
Found. Trends Inf. Retr., 2022

Matching Consumer Fairness Objectives & Strategies for RecSys.
CoRR, 2022

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis.
CoRR, 2022

Fire Dragon and Unicorn Princess; Gender Stereotypes and Children's Products in Search Engine Responses.
CoRR, 2022

The Multisided Complexity of Fairness in Recommender Systems.
AI Mag., 2022

Overview of the TREC 2022 Fair Ranking Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Exploring author gender in book rating and recommendation.
User Model. User Adapt. Interact., 2021

Preface to the special issue on fair, accountable, and transparent recommender systems.
User Model. User Adapt. Interact., 2021

Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation.
CoRR, 2021

Overview of the TREC 2020 Fair Ranking Track.
CoRR, 2021

Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations.
CoRR, 2021

Fairness and Discrimination in Information Access Systems.
CoRR, 2021

Estimation of Fair Ranking Metrics with Incomplete Judgments.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Overview of the TREC 2021 Fair Ranking Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Baby Shark to Barracuda: Analyzing Children's Music Listening Behavior.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

FAccTRec 2021: The 4th Workshop on Responsible Recommendation.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Comparing Fair Ranking Metrics.
CoRR, 2020

Overview of the TREC 2019 Fair Ranking Track.
CoRR, 2020

Enhancing classroom instruction with online news.
Aslib J. Inf. Manag., 2020

FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

3rd FAccTRec Workshop: Responsible Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

LensKit for Python: Next-Generation Software for Recommender Systems Experiments.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Evaluating Stochastic Rankings with Expected Exposure.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Estimating Error and Bias in Offline Evaluation Results.
Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020

2019
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum, 2019

Proceedings of FACTS-IR 2019.
CoRR, 2019

Recommender Systems Notation: Proposed Common Notation for Teaching and Research.
CoRR, 2019

FairUMAP 2019 Chairs' Welcome Overview.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR).
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Fairness and Discrimination in Retrieval and Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

StoryTime: eliciting preferences from children for book recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Fairness and discrimination in recommendation and retrieval.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
Rating-Based Collaborative Filtering: Algorithms and Evaluation.
Proceedings of the Social Information Access - Systems and Technologies, 2018

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction.
SIGIR Forum, 2018

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442).
Dagstuhl Manifestos, 2018

The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project.
CoRR, 2018

UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

2nd FATREC workshop: responsible recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Exploring author gender in book rating and recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

All The Cool Kids, How Do They Fit In?: Popularity and Demographic Biases in Recommender Evaluation and Effectiveness.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Privacy for All: Ensuring Fair and Equitable Privacy Protections.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2017
FATREC Workshop on Responsible Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Recommender Response to Diversity and Popularity Bias in User Profiles.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Dependency Injection with Static Analysis and Context-Aware Policy.
J. Object Technol., 2016

Behaviorism is Not Enough: Better Recommendations through Listening to Users.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Teaching Recommender Systems at Large Scale: Evaluation and Lessons Learned from a Hybrid MOOC.
ACM Trans. Comput. Hum. Interact., 2015

Letting Users Choose Recommender Algorithms: An Experimental Study.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
User perception of differences in recommender algorithms.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
Rating support interfaces to improve user experience and recommender accuracy.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
How many bits per rating?
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

When recommenders fail: predicting recommender failure for algorithm selection and combination.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

RecStore: an extensible and adaptive framework for online recommender queries inside the database engine.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
RecBench: Benchmarks for Evaluating Performance of Recommender System Architectures.
Proc. VLDB Endow., 2011

Collaborative Filtering Recommender Systems.
Found. Trends Hum. Comput. Interact., 2011

Searching for software learning resources using application context.
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011

UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

LensKit: a modular recommender framework.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010
Automatically building research reading lists.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

2009
rv you're dumb: identifying discarded work in Wiki article history.
Proceedings of the 2009 International Symposium on Wikis, 2009


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