F. Maxwell Harper

Haiyi Zhu

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Learning from Sets of Items in Recommender Systems.

[BibT_eX]

[DOI]

Mohit Sharma

George Karypis

ACM Trans. Interact. Intell. Syst., 2019

Exploring Interactions with Voice-Controlled TV.

[BibT_eX]

[DOI]

CoRR, 2019

From preference into decision making: modeling user interactions in recommender systems.

[BibT_eX]

[DOI]

Martijn C. Willemsen

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders.

[BibT_eX]

[DOI]

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

User Personality and User Satisfaction with Recommender Systems.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2018

Early Lessons from a Voice-Only Interface for Finding Movies.

[BibT_eX]

[DOI]

Joshua Wissbroecker

CoRR, 2018

Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems.

[BibT_eX]

[DOI]

Tahir Lazaro Sousa Menezes

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

A field study of related video recommendations: newest, most similar, or most relevant?

[BibT_eX]

[DOI]

Yifan Zhong

Vikas Kumar

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Interpreting user inaction in recommender systems.

[BibT_eX]

[DOI]

Martijn C. Willemsen

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Judging similarity: a user-centric study of related item recommendations.

[BibT_eX]

[DOI]

Yuan Yao

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017

The playful newsroom: Iterating and reiterating the news and its publics.

[BibT_eX]

[DOI]

First Monday, 2017

Understanding How People Use Natural Language to Ask for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Recommender Popularity Controls: An Observational Study.

[BibT_eX]

[DOI]

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists.

[BibT_eX]

[DOI]

Martijn C. Willemsen

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

The MovieLens Datasets: History and Context.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2016

Gaze Prediction for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Crowd-Based Personalized Natural Language Explanations for Recommendations.

[BibT_eX]

[DOI]

Shuo Chang

Loren Gilbert Terveen

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

CrowdLens: Experimenting with Crowd-Powered Recommendation and Explanation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015

Putting Users in Control of their Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Letting Users Choose Recommender Algorithms: An Experimental Study.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Using Groups of Items to Bootstrap New Users in Recommender Systems.

[BibT_eX]

[DOI]

Shuo Chang

Loren G. Terveen

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014

Exploring the filter bubble: the effect of using recommender systems on content diversity.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

User perception of differences in recommender algorithms.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Designing Better Location Fields in User Profiles.

[BibT_eX]

[DOI]

Ting-Yu Wang

Brent J. Hecht

Proceedings of the 18th International Conference on Supporting Group Work, Sanibel Island, FL, USA, November 09, 2014

2012

Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering.

[BibT_eX]

[DOI]

Aditya Pal

ACM Trans. Inf. Syst., 2012

Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds.

[BibT_eX]

[DOI]

MIS Q., 2012

2011

Asked and Answered: On Qualities and Quantities of Answers in Online Q&A Sites.

[BibT_eX]

[DOI]

Proceedings of the Social Mobile Web, 2011

Entity-linking interfaces in user-contributed content: preference and performance.

[BibT_eX]

[DOI]

Xiao Dong

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010

Question types in social Q&A sites.

[BibT_eX]

[DOI]

First Monday, 2010

2009

Facts or friends?: distinguishing informational and conversational questions in social Q&A sites.

[BibT_eX]

[DOI]

Daniel Moy

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008

The context, content & community collage: sharing personal digital media in the physical workplace.

[BibT_eX]

[DOI]

Joseph F. McCarthy

Ben Congleton

Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, 2008

Predictors of answer quality in online Q&A sites.

[BibT_eX]

[DOI]

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007

Recommenders everywhere: : the WikiLens community-maintained recommender system.

[BibT_eX]

[DOI]

Proceedings of the 2007 International Symposium on Wikis, 2007

Encouraging Contributions to Online Communities with Personalization and Incentives.

[BibT_eX]

[DOI]

Proceedings of the User Modeling 2007, 11th International Conference, 2007

Supporting social recommendations with activity-balanced clustering.

[BibT_eX]

[DOI]