Joseph A. Konstan

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 68

Top Venues

CoRR

RecSys

Commun. ACM

Proc. ACM Hum. Comput. Interact.

Publications

Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. CoRR (2024)
Ruixuan Sun, Avinash Akella, Xinyi Wu, Ruoyan Kong, Joseph A. Konstan
What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems. CoRR (2024)
Stevie Chancellor, Joseph A. Konstan, Loren Terveen, Svetlana Yarosh
Do Know Harm: Considering the Ethics of Online Community Research. Commun. ACM 67 (6) (2024)
Ruixuan Sun, Xinyi Li, Avinash Akella, Joseph A. Konstan
Large Language Models as Conversational Movie Recommenders: A User Study. CoRR (2024)
Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan
COVID-19 as Reflected in University President Bulk Email. CoRR (2024)
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. EC (2023)
Salvatore Andolina, Joseph A. Konstan
Introduction to the Special Issue on AI, Decision-Making, and the Impact on Humans. Int. J. Hum. Comput. Interact. 39 (7) (2023)
Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. CoRR (2023)
Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina, Margherita Antona, Anja Bodenschatz, Constantinos Coursaris, Gregory Falco, Stephen M. Fiore, Ivan Garibay, Keri Grieman, John C. Havens, Marina Jirotka, Hernisa Kacorri, Waldemar Karwowski, Joseph T. Kider Jr., Joseph A. Konstan, Sean Koon, Monica Lopez-Gonzalez, Iliana Maifeld-Carucci, Sean McGregor, Gavriel Salvendy, Ben Shneiderman, Constantine Stephanidis, Christina Strobel, Carolyn Ten Holter, Wei Xu
Six Human-Centered Artificial Intelligence Grand Challenges. Int. J. Hum. Comput. Interact. 39 (3) (2023)
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
Organizational Bulk Email Systems: Their Role and Performance in Remote Work. CoRR (2023)
Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. CoRR (2023)
Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. UMAP (Adjunct Publication) (2023)
Marty J. Wolf, Joseph A. Konstan, Helena M. Mentis, Jane Prey, Harald Störrle
After the Complaint: What Should ACM Disclose? Commun. ACM 66 (3) (2023)
Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. ETRA (2023)
Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. CoRR (2023)
Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. CoRR (2023)
Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang
RecWork: Workshop on Recommender Systems for the Future of Work. RecSys (2022)
Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen
Re-envisioning a K-12 Early Warning System with School Climate Factors. L@S (2022)
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. CoRR (2022)
Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Joseph A. Konstan, Robin Burke, Edward C. Malthouse
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys (2021)
Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) (2021)
Jack W. Davidson, Joseph A. Konstan, Scott E. Delman
ACM publications finances for 2020. Commun. ACM 64 (12) (2021)
Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
Toward the Next Generation of News Recommender Systems. CoRR (2021)
Joseph A. Konstan, Loren G. Terveen
Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities. AI Mag. 42 (3) (2021)
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. RecSys (2020)
Jack W. Davidson, Joseph A. Konstan, Scott E. Delman
ACM publications finances. Commun. ACM 63 (5) (2020)
Carole-Jean Wu, Robin Burke, Ed Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang
Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR (2020)
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. CoRR (2020)
Hao Fei Cheng, Bowen Yu, Siwei Fu, Jian Zhao, Brent J. Hecht, Joseph A. Konstan, Loren Terveen, Svetlana Yarosh, Haiyi Zhu
Teaching UI Design at Global Scales: A Case Study of the Design of Collaborative Capstone Projects for MOOCs. L@S (2019)
Michael D. Ekstrand, Joseph A. Konstan
Recommender Systems Notation: Proposed Common Notation for Teaching and Research. CoRR (2019)
Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan
Towards More Impactful Recommender Systems Research. ImpactRS@RecSys (2019)
Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan
From preference into decision making: modeling user interactions in recommender systems. RecSys (2019)
Taavi T. Taijala, Martijn C. Willemsen, Joseph A. Konstan
Movieexplorer: building an interactive exploration tool from ratings and latent taste spaces. SAC (2018)
Tien T. Nguyen, F. Maxwell Harper, Loren Terveen, Joseph A. Konstan
User Personality and User Satisfaction with Recommender Systems. Inf. Syst. Frontiers 20 (6) (2018)
Tomu Tominaga, Yoshinori Hijikata, Joseph A. Konstan
How self-disclosure in Twitter profiles relate to anonymity consciousness and usage objectives: a cross-cultural study. J. Comput. Soc. Sci. 1 (2) (2018)
Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan
Personality, User Preferences and Behavior in Recommender systems. Inf. Syst. Frontiers 20 (6) (2018)
Denis Kotkov, Joseph A. Konstan, Qian Zhao, Jari Veijalainen
Investigating serendipity in recommender systems based on real user feedback. SAC (2018)
Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan
Interpreting user inaction in recommender systems. RecSys (2018)
Qian Zhao, F. Maxwell Harper, Gediminas Adomavicius, Joseph A. Konstan
Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems. SAC (2018)
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52 (1) (2018)
Vikas Kumar, Sabirat Rubya, Joseph A. Konstan, Loren Terveen
Risk "Attention" or "Adventure": A Qualitative Study of Novelty and Familiarity in Music Listening. IntRS@RecSys (2018)
Jack W. Davidson, Joseph A. Konstan, Andrew A. Chien, Scott E. Delman
Toward sustainable access: where are we now? Commun. ACM 61 (5) (2018)
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
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 7 (1) (2018)
Raghav Pavan Karumur, Bowen Yu, Haiyi Zhu, Joseph A. Konstan
Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups. CHI (2018)
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan
Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP (Dagstuhl Perspectives Workshop 17442). Dagstuhl Reports 7 (10) (2017)
Qian Zhao, Gediminas Adomavicius, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan
Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. CSCW (2017)
Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl
An Algorithmic Framework for Performing Collaborative Filtering. SIGIR Forum 51 (2) (2017)
Jacob Thebault-Spieker, Daniel Kluver, Maximilian A. Klein, Aaron Halfaker, Brent J. Hecht, Loren G. Terveen, Joseph A. Konstan
Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)
Weiwen Leung, Haiyi Zhu, Joseph A. Konstan
The Effect of Emotional Cues from the NFL on Wikipedia Contributions. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)
Jie Kang, Kyle Condiff, Shuo Chang, Joseph A. Konstan, Loren G. Terveen, F. Maxwell Harper
Understanding How People Use Natural Language to Ask for Recommendations. RecSys (2017)
Qian Zhao, Sashank Varma, Joseph A. Konstan
In-Video Reuse of Discussion Threads in MOOCs. L@S (2017)
Fernando Mourão, Leonardo Rocha, Camila Souza Araujo, Wagner Meira Jr., Joseph A. Konstan
What surprises does your past have for you? Inf. Syst. 71 (2017)
Xinyi Wang, Haiyi Zhu, Yangyun Li, Yu Cui, Joseph A. Konstan
A Community Rather Than A Union: Understanding Self-Organization Phenomenon on MTurk and How It Impacts Turkers and Requesters. CHI Extended Abstracts (2017)
Qian Zhao, Zihong Huang, F. Maxwell Harper, Loren G. Terveen, Joseph A. Konstan
Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors. CSCW (2016)
Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan
Gaze Prediction for Recommender Systems. RecSys (2016)
Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan
Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens. RecSys (2016)
Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan
Early Activity Diversity: Assessing Newcomer Retention from First-Session Activity. CSCW (2016)
F. Maxwell Harper, Joseph A. Konstan
The MovieLens Datasets: History and Context. ACM Trans. Interact. Intell. Syst. 5 (4) (2016)
Raghav Pavan Karumur, Joseph A. Konstan
Relating Newcomer Personality to Survival and Activity in Recommender Systems. UMAP (2016)
Joseph A. Konstan, Jack W. Davidson
Charting the future: scholarly publishing in CS. Commun. ACM 58 (4) (2015)
Joseph A. Konstan, J. D. Walker, D. Christopher Brooks, Keith Brown, Michael D. Ekstrand
Teaching Recommender Systems at Large Scale: Evaluation and Lessons Learned from a Hybrid MOOC. ACM Trans. Comput. Hum. Interact. 22 (2) (2015)
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan
Letting Users Choose Recommender Algorithms: An Experimental Study. RecSys (2015)
Joseph A. Konstan, Jack W. Davidson
Should conferences meet journals and where?: a proposal for 'PACM'. Commun. ACM 58 (9) (2015)
Komal Kapoor, Vikas Kumar, Loren G. Terveen, Joseph A. Konstan, Paul R. Schrater
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. RecSys (2015)
Vikas Kumar, Daniel C. Jarratt, Rahul Anand, Joseph A. Konstan, Brent J. Hecht
"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems. LocalRec@RecSys (2015)
Daniel Kluver, Joseph A. Konstan
Evaluating recommender behavior for new users. RecSys (2014)
Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan
User perception of differences in recommender algorithms. RecSys (2014)
Tien T. Nguyen, Pik-Mai Hui, F. Maxwell Harper, Loren G. Terveen, Joseph A. Konstan
Exploring the filter bubble: the effect of using recommender systems on content diversity. WWW (2014)
Judith S. Olson, Joseph A. Konstan, Mark D. Gross, Lucy Fortson
CTS 2014 keynotes. CTS (2014)
Joseph A. Konstan, J. D. Walker, D. Christopher Brooks, Keith Brown, Michael D. Ekstrand
Teaching recommender systems at large scale: evaluation and lessons learned from a hybrid MOOC. L@S (2014)
Obinna Anya, John V. Carlis, Brent J. Hecht, Daniel F. Keefe, Neale R. Chumbler, Saif S. Khairat, Joseph A. Konstan, Danilo Pani, Jason Evgenides, Janet Girton, Arlene King, Joseph Zahn, Greg Padula, Mary Galvin
CTS 2014 panel sessions. CTS (2014)
Fernando Mourão, Leonardo Rocha, Joseph A. Konstan, Wagner Meira Jr.
Exploiting non-content preference attributes through hybrid recommendation method. RecSys (2013)
Joseph A. Konstan, Gediminas Adomavicius
Toward identification and adoption of best practices in algorithmic recommender systems research. RepSys@RecSys (2013)
Anuradha Uduwage, Joseph A. Konstan
The Answer Is Out There: Online Q&A Sites. Computer 45 (7) (2012)
Frank Bi, Joseph A. Konstan
Customer Service 2.0: Where Social Computing Meets Customer Relations. Computer 45 (11) (2012)
Aditya Pal, James Margatan, Joseph A. Konstan
Question temporality: identification and uses. CSCW (2012)
Joseph A. Konstan, John Riedl
Recommender systems: from algorithms to user experience. User Model. User Adapt. Interact. 22 (1-2) (2012)
Aditya Pal, Shuo Chang, Joseph A. Konstan
Evolution of Experts in Question Answering Communities. ICWSM (2012)
Aditya Pal, F. Maxwell Harper, Joseph A. Konstan
Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering. ACM Trans. Inf. Syst. 30 (2) (2012)
Rosta Farzan, Robert E. Kraut, Aditya Pal, Joseph A. Konstan
Socializing volunteers in an online community: a field experiment. CSCW (2012)
Joseph A. Konstan, Aaron Marcus, Karen Holtzblatt, Eric Schaffer
Creating great user experience: facing the challenges ahead. CHI Extended Abstracts (2012)
John Logie, Joseph Weinberg, F. Maxwell Harper, Joseph A. Konstan
Asked and Answered: On Qualities and Quantities of Answers in Online Q&A Sites. The Social Mobile Web (2011)
Joseph A. Konstan
Tutorial / HCI for recommender systems: a tutorial. IUI (2011)
Michael D. Ekstrand, John Riedl, Joseph A. Konstan
Collaborative Filtering Recommender Systems. Found. Trends Hum. Comput. Interact. 4 (2) (2011)
Aditya Pal, Rosta Farzan, Joseph A. Konstan, Robert E. Kraut
Early Detection of Potential Experts in Question Answering Communities. UMAP (2011)
Xiao Dong, F. Maxwell Harper, Joseph A. Konstan
Entity-linking interfaces in user-contributed content: preference and performance. CHI (2011)
Wei Li, Justin Matejka, Tovi Grossman, Joseph A. Konstan, George W. Fitzmaurice
Design and evaluation of a command recommendation system for software applications. ACM Trans. Comput. Hum. Interact. 18 (2) (2011)
Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. RecSys (2011)
Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz
AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Mag. 31 (3) (2010)
Aditya Pal, Joseph A. Konstan
Expert identification in community question answering: exploring question selection bias. CIKM (2010)
Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, John Riedl
Automatically building research reading lists. RecSys (2010)
F. Maxwell Harper, Joseph Weinberg, John Logie, Joseph A. Konstan
Question types in social Q&A sites. First Monday 15 (7) (2010)
Paul Resnick, Joseph A. Konstan, Andreas Hotho, Jesus Pindado
Contests: way forward or detour? RecSys (2010)
Jilin Chen, Joseph A. Konstan
Conference paper selectivity and impact. Commun. ACM 53 (6) (2010)
F. Maxwell Harper, Daniel Moy, Joseph A. Konstan
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites. CHI (2009)
B. R. Simon Rosser, Laura J. Gurak, Keith J. Horvath, J. Michael Oakes, Joseph A. Konstan, Gene P. Danilenko
The Challenges of Ensuring Participant Consent in Internet-based Sex Studies: A Case Study of the Men's INTernet Sex (MINTS-I and II) Studies. J. Comput. Mediat. Commun. 14 (3) (2009)
Joseph A. Konstan
Introduction to recommender systems. SIGMOD Conference (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joseph A. Konstan