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ORCIDJoseph A. Konstan
Joe Konstan
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- affiliation: University of Minnesota, USA
- award (2010): ACM Software System Award
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2020 – today
- 2024
[j56]Stevie Chancellor
, Joseph A. Konstan, Loren Terveen, Svetlana Yarosh:
Do Know Harm: Considering the Ethics of Online Community Research. Commun. ACM 67(6): 35-38 (2024)- [j55]Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan:
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. Int. J. Hum. Comput. Interact. 40(22): 7233-7247 (2024) - [j54]Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Ye Yuan, Joseph A. Konstan:
Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-28 (2024) - [c111]Ruixuan Sun, Xinyi Wu, Avinash Akella, Ruoyan Kong, Bart P. Knijnenburg, Joseph A. Konstan:
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders. IntRS@RecSys 2024: 59-70 - [c110]Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan:
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. RecSys 2024: 1 - [c109]Robin Burke, Joseph A. Konstan, Michael D. Ekstrand:
Conducting Recommender Systems User Studies Using POPROX. RecSys 2024: 1277-1278 - [i16]Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan:
COVID-19 as Reflected in University President Bulk Email. CoRR abs/2401.11135 (2024) - [i15]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 abs/2401.11632 (2024) - [i14]Ruixuan Sun, Xinyi Li, Avinash Akella, Joseph A. Konstan:
Large Language Models as Conversational Movie Recommenders: A User Study. CoRR abs/2404.19093 (2024) - [i13]Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan:
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. CoRR abs/2405.11053 (2024) - 2023
- [j53]Marty J. Wolf, Joseph A. Konstan, Helena M. Mentis, Jane Prey, Harald Störrle:
After the Complaint: What Should ACM Disclose? Commun. ACM 66(3): 6-11 (2023) - [j52]Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina, Margherita Antona, Anja Bodenschatz, Constantinos K. 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, Mónica López-González, 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): 391-437 (2023) - [j51]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): 1367-1370 (2023) - [c108]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: 10:1-10:7 - [c107]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: 117 - [c106]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: 291-295 - [i12]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 abs/2302.11156 (2023) - [i11]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 abs/2306.07455 (2023) - [i10]Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan:
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. CoRR abs/2306.11279 (2023) - [i9]Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan:
Organizational Bulk Email Systems: Their Role and Performance in Remote Work. CoRR abs/2308.05085 (2023) - [i8]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 abs/2309.13296 (2023) - 2022
- [j50]Neha Kumar, Julie A. Adams, Bill Buxton, Linda Candy, Pablo César, Leigh Clark, Benjamin R. Cowan, Anind K. Dey, Phoebe O. Toups Dugas, Ernest A. Edmonds, Michael A. Goodrich, Mark Green, Jonathan Grudin, Yoshifumi Kitamura, Joe Konstan, Celine Latulipe, Minha Lee, Tom Malone, Regan L. Mandryk, Panos Markopoulos, Michael J. Muller, Lennart E. Nacke, Yukiko I. Nakano, Marianna Obrist, Martin Porcheron, Aleksandra Sarcevic, Johannes Schöning, Stacey D. Scott, Bonita Sharif, Frank Steinicke, Simone Stumpf, Edward Tse, Vinoba Vinayagamoorthy:
A chronology of SIGCHI conferences: 1983 to 2022. Interactions 29(6): 34-41 (2022) - [j49]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): 1-27 (2022) - [c105]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: 405-408 - [c104]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: 675-677 - [i7]Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan:
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. CoRR abs/2211.14219 (2022) - 2021
- [j48]Joseph A. Konstan, Loren G. Terveen:
Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities. AI Mag. 42(3): 31-42 (2021) - [j47]Jack W. Davidson, Joseph A. Konstan, Scott E. Delman:
ACM publications finances for 2020. Commun. ACM 64(12): 26-27 (2021) - [j46]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): 80:1-80:23 (2021) - [c103]Joseph A. Konstan, Robin Burke, Edward C. Malthouse:
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys 2021: 43-46 - [c102]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) 2021: 402-406 - [e11]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [i6]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. CoRR abs/2103.06909 (2021) - 2020
- [j45]Jack W. Davidson, Joseph A. Konstan, Scott E. Delman:
ACM publications finances. Commun. ACM 63(5): 53-57 (2020) - [c101]Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan:
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. RecSys 2020: 630-631 - [e10]Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin, Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan:
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online, September 25, 2020. CEUR Workshop Proceedings 2697, CEUR-WS.org 2020 [contents] - [i5]Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang:
Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR abs/2003.07336 (2020) - [i4]Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan:
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. CoRR abs/2006.16508 (2020)
2010 – 2019
- 2019
- [c100]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: 11:1-11:11 - [c99]Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan:
Towards More Impactful Recommender Systems Research. ImpactRS@RecSys 2019 - [c98]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: 29-33 - [i3]Michael D. Ekstrand, Joseph A. Konstan:
Recommender Systems Notation: Proposed Common Notation for Teaching and Research. CoRR abs/1902.01348 (2019) - 2018
- [j44]Jack W. Davidson, Joseph A. Konstan, Andrew A. Chien, Scott E. Delman:
Toward sustainable access: where are we now? Commun. ACM 61(5): 6-7 (2018) - [j43]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): 96-139 (2018) - [j42]Tien T. Nguyen, F. Maxwell Harper, Loren Terveen, Joseph A. Konstan:
User Personality and User Satisfaction with Recommender Systems. Inf. Syst. Frontiers 20(6): 1173-1189 (2018) - [j41]Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan:
Personality, User Preferences and Behavior in Recommender systems. Inf. Syst. Frontiers 20(6): 1241-1265 (2018) - [j40]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): 391-435 (2018) - [j39]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): 91-101 (2018) - [c97]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: 506 - [c96]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: 15-23 - [c95]Qian Zhao, Martijn C. Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan:
Interpreting user inaction in recommender systems. RecSys 2018: 40-48 - [c94]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: 1331-1340 - [c93]Denis Kotkov, Joseph A. Konstan, Qian Zhao, Jari Veijalainen:
Investigating serendipity in recommender systems based on real user feedback. SAC 2018: 1341-1350 - [c92]Taavi T. Taijala, Martijn C. Willemsen, Joseph A. Konstan:
Movieexplorer: building an interactive exploration tool from ratings and latent taste spaces. SAC 2018: 1383-1392 - [p6]Daniel Kluver, Michael D. Ekstrand, Joseph A. Konstan:
Rating-Based Collaborative Filtering: Algorithms and Evaluation. Social Information Access 2018: 344-390 - 2017
- [j38]Fernando Mourão, Leonardo Rocha, Camila Souza Araujo, Wagner Meira Jr., Joseph A. Konstan:
What surprises does your past have for you? Inf. Syst. 71: 137-151 (2017) - [j37]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): 66:1-66:21 (2017) - [j36]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): 101:1-101:25 (2017) - [j35]Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl:
An Algorithmic Framework for Performing Collaborative Filtering. SIGIR Forum 51(2): 227-234 (2017) - [c91]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: 2210-2216 - [c90]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: 1444-1453 - [c89]Qian Zhao, Sashank Varma, Joseph A. Konstan:
In-Video Reuse of Discussion Threads in MOOCs. L@S 2017: 153-156 - [c88]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: 229-237 - [i2]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): 139-146 (2017) - 2016
- [j34]F. Maxwell Harper, Joseph A. Konstan:
The MovieLens Datasets: History and Context. ACM Trans. Interact. Intell. Syst. 5(4): 19:1-19:19 (2016) - [c87]Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan:
Early Activity Diversity: Assessing Newcomer Retention from First-Session Activity. CSCW 2016: 594-607 - [c86]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: 1613-1623 - [c85]Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan:
Gaze Prediction for Recommender Systems. RecSys 2016: 131-138 - [c84]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: 139-142 - [c83]Raghav Pavan Karumur, Joseph A. Konstan:
Relating Newcomer Personality to Survival and Activity in Recommender Systems. UMAP 2016: 195-205 - [e9]Darren Gergle, Meredith Ringel Morris, Pernille Bjørn, Joseph A. Konstan:
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, CSCW 2016, San Francisco, CA, USA, February 27 - March 2, 2016. ACM 2016, ISBN 978-1-4503-3592-8 [contents] - [e8]Darren Gergle, Meredith Ringel Morris, Pernille Bjørn, Joseph A. Konstan:
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2015, San Francisco, CA, USA, February 27 - March 2, 2016, Companion Volume. ACM 2016, ISBN 978-1-4503-3950-6 [contents] - 2015
- [j33]Joseph A. Konstan, Jack W. Davidson:
Charting the future: scholarly publishing in CS. Commun. ACM 58(4): 5 (2015) - [j32]Joseph A. Konstan, Jack W. Davidson:
Should conferences meet journals and where?: a proposal for 'PACM'. Commun. ACM 58(9): 5 (2015) - [j31]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): 10:1-10:23 (2015) - [c82]Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan:
Letting Users Choose Recommender Algorithms: An Experimental Study. RecSys 2015: 11-18 - [c81]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: 13-20 - [c80]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: 19-26 - 2014
- [c79]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: 1-13 - [c78]Judith S. Olson, Joseph A. Konstan, Mark D. Gross, Lucy Fortson:
CTS 2014 keynotes. CTS 2014: 1-5 - [c77]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: 61-70 - [c76]Daniel Kluver, Joseph A. Konstan:
Evaluating recommender behavior for new users. RecSys 2014: 121-128 - [c75]Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan:
User perception of differences in recommender algorithms. RecSys 2014: 161-168 - [c74]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: 677-686 - [p5]Loren G. Terveen, Joseph A. Konstan, Cliff Lampe:
Study, Build, Repeat: Using Online Communities as a Research Platform. Ways of Knowing in HCI 2014: 95-117 - 2013
- [c73]Joseph A. Konstan, Gediminas Adomavicius:
Toward identification and adoption of best practices in algorithmic recommender systems research. RepSys@RecSys 2013: 23-28 - [c72]Fernando Mourão, Leonardo Rocha, Joseph A. Konstan, Wagner Meira Jr.:
Exploiting non-content preference attributes through hybrid recommendation method. RecSys 2013: 177-184 - 2012
- [j30]Anuradha Uduwage, Joseph A. Konstan:
The Answer Is Out There: Online Q&A Sites. Computer 45(7): 90-92 (2012) - [j29]Frank Bi, Joseph A. Konstan:
Customer Service 2.0: Where Social Computing Meets Customer Relations. Computer 45(11): 93-95 (2012) - [j28]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): 10:1-10:28 (2012) - [j27]Joseph A. Konstan, John Riedl:
Recommender systems: from algorithms to user experience. User Model. User Adapt. Interact. 22(1-2): 101-123 (2012) - [c71]Joseph A. Konstan, Aaron Marcus, Karen Holtzblatt, Eric Schaffer:
Creating great user experience: facing the challenges ahead. CHI Extended Abstracts 2012: 1115-1118 - [c70]Aditya Pal, James Margatan, Joseph A. Konstan:
Question temporality: identification and uses. CSCW 2012: 257-260 - [c69]Rosta Farzan, Robert E. Kraut, Aditya Pal, Joseph A. Konstan:
Socializing volunteers in an online community: a field experiment. CSCW 2012: 325-334 - [c68]Aditya Pal, Shuo Chang, Joseph A. Konstan:
Evolution of Experts in Question Answering Communities. ICWSM 2012 - [e7]Joseph A. Konstan, Ed H. Chi, Kristina Höök:
CHI Conference on Human Factors in Computing Systems, CHI '12, Austin, TX, USA - May 05 - 10, 2012. ACM 2012, ISBN 978-1-4503-1015-4 [contents] - [e6]Joseph A. Konstan, Ed H. Chi, Kristina Höök:
CHI Conference on Human Factors in Computing Systems, CHI '12, Extended Abstracts Volume, Austin, TX, USA, May 5-10, 2012. ACM 2012, ISBN 978-1-4503-1016-1 [contents] - 2011
- [j26]Michael D. Ekstrand, John Riedl, Joseph A. Konstan:
Collaborative Filtering Recommender Systems. Found. Trends Hum. Comput. Interact. 4(2): 175-243 (2011) - [j25]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): 6:1-6:35 (2011) - [c67]Xiao Dong, F. Maxwell Harper, Joseph A. Konstan:
Entity-linking interfaces in user-contributed content: preference and performance. CHI 2011: 2187-2196 - [c66]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 - [c65]Joseph A. Konstan:
Tutorial / HCI for recommender systems: a tutorial. IUI 2011: 463-464 - [c64]Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl:
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. RecSys 2011: 133-140 - [c63]Aditya Pal, Rosta Farzan, Joseph A. Konstan, Robert E. Kraut:
Early Detection of Potential Experts in Question Answering Communities. UMAP 2011: 231-242 - [e5]Joseph A. Konstan, Ricardo Conejo, José-Luis Marzo, Nuria Oliver:
User Modeling, Adaption and Personalization - 19th International Conference, UMAP 2011, Girona, Spain, July 11-15, 2011. Proceedings. Lecture Notes in Computer Science 6787, Springer 2011, ISBN 978-3-642-22361-7 [contents] - 2010
- [j24]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): 103-114 (2010) - [j23]Jilin Chen, Joseph A. Konstan:
Conference paper selectivity and impact. Commun. ACM 53(6): 79-83 (2010) - [j22]F. Maxwell Harper, Joseph Weinberg, John Logie, Joseph A. Konstan:
Question types in social Q&A sites. First Monday 15(7) (2010) - [c62]Aditya Pal, Joseph A. Konstan:
Expert identification in community question answering: exploring question selection bias. CIKM 2010: 1505-1508 - [c61]Paul Resnick, Joseph A. Konstan, Andreas Hotho, Jesus Pindado:
Contests: way forward or detour? RecSys 2010: 37-38 - [c60]Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, John Riedl:
Automatically building research reading lists. RecSys 2010: 159-166
2000 – 2009
- 2009
- [j21]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): 602-626 (2009) - [c59]F. Maxwell Harper, Daniel Moy, Joseph A. Konstan:
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites. CHI 2009: 759-768 - 2008
- [j20]Dietmar Jannach, Markus Zanker, Joseph A. Konstan:
Special issue on Recommender Systems. AI Commun. 21(2-3): 95-96 (2008) - [j19]Cai-Nicolas Ziegler, Georg Lausen, Joseph A. Konstan:
On exploiting classification taxonomies in recommender systems. AI Commun. 21(2-3): 97-125 (2008) - [c58]F. Maxwell Harper, Daphne R. Raban, Sheizaf Rafaeli, Joseph A. Konstan:
Predictors of answer quality in online Q&A sites. CHI 2008: 865-874 - [c57]Vinod Krishnan, Pradeep Kumar Narayanashetty, Mukesh Nathan, Richard T. Davies, Joseph A. Konstan:
Who predicts better?: results from an online study comparing humans and an online recommender system. RecSys 2008: 211-218 - [c56]Joseph A. Konstan:
Introduction to recommender systems. SIGMOD Conference 2008: 1373-1374 - 2007
- [j18]Nishikant Kapoor, John T. Butler, Gary C. Fouty, James A. Stemper, Joseph A. Konstan:
Resolvability of references in users' personal collections. Inf. Res. 12(4) (2007) - [c55]Nathaniel Good, Jens Grossklags, Deirdre K. Mulligan, Joseph A. Konstan:
Noticing notice: a large-scale experiment on the timing of software license agreements. CHI 2007: 607-616 - [c54]Justin D. Weisz, Sara B. Kiesler, Hui Zhang, Yuqing Ren, Robert E. Kraut, Joseph A. Konstan:
Watching together: integrating text chat with video. CHI 2007: 877-886 - [c53]Nishikant Kapoor, John T. Butler, Sean M. McNee, Gary C. Fouty, James A. Stemper, Joseph A. Konstan:
A Study of Citations in Users' Online Personal Collections. ECDL 2007: 404-415 - [c52]F. Maxwell Harper, Sherry Xin Li, Yan Chen, Joseph A. Konstan:
Social Comparisons to Motivate Contributions to an Online Community. PERSUASIVE 2007: 148-159 - [c51]Nishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan:
Techlens: a researcher's desktop. RecSys 2007: 183-184 - [e4]Joseph A. Konstan, John Riedl, Barry Smyth:
Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, Minneapolis, MN, USA, October 19-20, 2007. ACM 2007, ISBN 978-1-59593-730-8 [contents] - [i1]Yan Chen, F. Maxwell Harper, Joseph A. Konstan, Sherry Xin Li:
Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens. Computational Social Systems and the Internet 2007 - 2006
- [j17]Brian P. Bailey, Joseph A. Konstan:
On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. Comput. Hum. Behav. 22(4): 685-708 (2006) - [c50]Joseph A. Konstan, Sean M. McNee, Cai-Nicolas Ziegler, Roberto Torres, Nishikant Kapoor, John Riedl:
Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. AAAI 2006: 1630-1633 - [c49]Sean M. McNee, John Riedl, Joseph A. Konstan:
Being accurate is not enough: how accuracy metrics have hurt recommender systems. CHI Extended Abstracts 2006: 1097-1101 - [c48]Sean M. McNee, John Riedl, Joseph A. Konstan:
Making recommendations better: an analytic model for human-recommender interaction. CHI Extended Abstracts 2006: 1103-1108 - [c47]Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan:
Don't look stupid: avoiding pitfalls when recommending research papers. CSCW 2006: 171-180 - [p4]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Recommender Systems for the Web. Visualizing the Semantic Web, 2nd Edition 2006: 102-123 - 2005
- [j16]Joseph A. Konstan, B. R. Simon Rosser, Michael W. Ross, Jeffrey Stanton, Weston M. Edwards:
The Story of Subject Naught: A Cautionary but Optimistic Tale of Internet Survey Research. J. Comput. Mediat. Commun. 10(2) (2005) - [c46]Nishikant Kapoor, Joseph A. Konstan, Loren G. Terveen:
How peer photos influence member participation in online communities. CHI Extended Abstracts 2005: 1525-1528 - [c45]Mark van Setten, Sean M. McNee, Joseph A. Konstan:
Beyond personalization: the next stage of recommender systems research. IUI 2005: 8 - [c44]Nathaniel Good, Rachna Dhamija, Jens Grossklags, David Thaw, Steven Aronowitz, Deirdre K. Mulligan, Joseph A. Konstan:
Stopping spyware at the gate: a user study of privacy, notice and spyware. SOUPS 2005: 43-52 - [c43]F. Maxwell Harper, Sherry Xin Li, Yan Chen, Joseph A. Konstan:
An Economic Model of User Rating in an Online Recommender System. User Modeling 2005: 307-316 - [c42]Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan, Georg Lausen:
Improving recommendation lists through topic diversification. WWW 2005: 22-32 - [r1]Badrul Munir Sarwar, Joseph A. Konstan, John Riedl:
Distributed Recommender Systems for Internet Commerce. Encyclopedia of Information Science and Technology (II) 2005: 907-911 - 2004
- [j15]J. Ben Schafer, Joseph A. Konstan, John Riedl:
View through MetaLens: usage patterns for a meta-recommendation system. IEE Proc. Softw. 151(6): 267-279 (2004) - [j14]Joseph A. Konstan:
Introduction to recommender systems: Algorithms and Evaluation. ACM Trans. Inf. Syst. 22(1): 1-4 (2004) - [j13]Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, John Riedl:
Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1): 5-53 (2004) - [j12]Bradley N. Miller, Joseph A. Konstan, John Riedl:
PocketLens: Toward a personal recommender system. ACM Trans. Inf. Syst. 22(3): 437-476 (2004) - [c41]Roberto Torres, Sean M. McNee, Mara Abel, Joseph A. Konstan, John Riedl:
Enhancing digital libraries with TechLens+. JCDL 2004: 228-236 - 2003
- [c40]Brian P. Bailey, Joseph A. Konstan:
Are informal tools better?: comparing DEMAIS, pencil and paper, and authorware for early multimedia design. CHI 2003: 313-320 - [c39]Dan Cosley, Shyong K. Lam, István Albert, Joseph A. Konstan, John Riedl:
Is seeing believing?: how recommender system interfaces affect users' opinions. CHI 2003: 585-592 - [c38]Jenny Preece, Jonathan Lazar, Elizabeth F. Churchill, Hans J. J. de Graaff, Batya Friedman, Joseph A. Konstan:
Spam, spam, spam, spam: how can we stop it. CHI Extended Abstracts 2003: 706-707 - [c37]Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff, Joseph A. Konstan, John Riedl:
Confidence Displays and Training in Recommender Systems. INTERACT 2003 - [c36]Bradley N. Miller, István Albert, Shyong K. Lam, Joseph A. Konstan, John Riedl:
MovieLens unplugged: experiences with an occasionally connected recommender system. IUI 2003: 263-266 - [c35]Sean M. McNee, Shyong K. Lam, Joseph A. Konstan, John Riedl:
Interfaces for Eliciting New User Preferences in Recommender Systems. User Modeling 2003: 178-187 - [p3]Bradley N. Miller, John T. Ried, Joseph A. Konstan:
GroupLens for Usenet: Experiences in Applying Collaborative Filtering to a Social Information System. From Usenet to CoWebs 2003: 206-231 - [p2]Joseph A. Konstan, John Riedl:
Collaborative Filtering: Supporting Social Navigation in Large, Crowded Infospaces. Designing Information Spaces 2003: 43-82 - 2002
- [b1]John Thomas Riedl, Joseph A. Konstan, Eric Vrooman:
Word of Mouse - The Marketing Power of Collaborative Filtering. Warner Books 2002, ISBN 978-0-446-53003-3 - [j11]Jonathan L. Herlocker, Joseph A. Konstan, John Riedl:
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms. Inf. Retr. 5(4): 287-310 (2002) - [c34]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Meta-recommendation systems: user-controlled integration of diverse recommendations. CIKM 2002: 43-51 - [c33]Sean M. McNee, István Albert, Dan Cosley, Prateep Gopalkrishnan, Shyong K. Lam, Al Mamunur Rashid, Joseph A. Konstan, John Riedl:
On the recommending of citations for research papers. CSCW 2002: 116-125 - [c32]Al Mamunur Rashid, István Albert, Dan Cosley, Shyong K. Lam, Sean M. McNee, Joseph A. Konstan, John Riedl:
Getting to know you: learning new user preferences in recommender systems. IUI 2002: 127-134 - [p1]Joseph A. Konstan, John Riedl:
Recommender Systems for the Web. Visualizing the Semantic Web 2002: 151-167 - 2001
- [j10]J. Ben Schafer, Joseph A. Konstan, John Riedl:
E-Commerce Recommendation Applications. Data Min. Knowl. Discov. 5(1/2): 115-153 (2001) - [j9]Joseph A. Konstan:
Turn off the cameras-I'll take a traditional classroom. eLearn Mag. 2001(10): 2 (2001) - [j8]Jonathan L. Herlocker, Joseph A. Konstan:
Content-Independent Task-Focused Recommendation. IEEE Internet Comput. 5(6): 40-47 (2001) - [c31]Alan Wexelblat, Quentin Jones, Howard Abrams, Joseph A. Konstan, Michael Vernick:
Ph.D. vs. startup. CHI Extended Abstracts 2001: 229-230 - [c30]Mark O'Connor, Dan Cosley, Joseph A. Konstan, John Riedl:
PolyLens: A recommender system for groups of user. ECSCW 2001: 199-218 - [c29]Brian P. Bailey, Joseph A. Konstan, John V. Carlis:
The Effects of Interruptions on Task Performance, Annoyance, and Anxiety in the User Interface. INTERACT 2001: 593-601 - [c28]Brian P. Bailey, Joseph A. Konstan, John V. Carlis:
DEMAIS: designing multimedia applications with interactive storyboards. ACM Multimedia 2001: 241-250 - [c27]Joseph A. Konstan:
Heavyweight Applications of Lightweight User Models: A Look at Collaborative Filtering, Recommender Systems, and Real-Time Personalization. User Modeling 2001: 314 - [c26]Alex Safonov, Joseph A. Konstan, John V. Carlis:
End-user Web Automation: Challenges, Experiences, Recommendations. WebNet 2001: 1077-1085 - [c25]Alex Safonov, Joseph A. Konstan, John V. Carlis:
WebMacros - a Proxy-based System for Recording and Replaying User Interactions with the Web. WWW Posters 2001 - [c24]Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl:
Item-based collaborative filtering recommendation algorithms. WWW 2001: 285-295 - 2000
- [j7]Iffat H. Kazi, Davis P. Jose, Badis Ben-Hamida, Christian J. Hescott, Chris Kwok, Joseph A. Konstan, David J. Lilja, Pen-Chung Yew:
JaViz: A client/server Java profiling tool. IBM Syst. J. 39(1): 96-117 (2000) - [c23]Jonathan L. Herlocker, Joseph A. Konstan, John Riedl:
Explaining collaborative filtering recommendations. CSCW 2000: 241-250 - [c22]Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl:
Analysis of recommendation algorithms for e-commerce. EC 2000: 158-167 - [c21]Brian P. Bailey, Joseph A. Konstan, John V. Carlis:
Measuring the effects of interruptions on task performance in the user interface. SMC 2000: 757-762 - [e3]Shahram Ghandeharizadeh, Shih-Fu Chang, Stephen Fischer, Joseph A. Konstan, Klara Nahrstedt:
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30 - November 3, 2000. ACM 2000, ISBN 1-58113-198-4 [contents] - [e2]Shahram Ghandeharizadeh, Shih-Fu Chang, Stephen Fischer, Joseph A. Konstan, Klara Nahrstedt:
Proceedings of the ACM Multimedia 2000 Workshops, Los Angeles, CA, USA, October 30 - November 3, 2000. ACM Press 2000, ISBN 1-58113-311-1 [contents]
1990 – 1999
- 1999
- [c20]Nathaniel Good, J. Ben Schafer, Joseph A. Konstan, Al Borchers, Badrul Munir Sarwar, Jonathan L. Herlocker, John Riedl:
Combining Collaborative Filtering with Personal Agents for Better Recommendations. AAAI/IAAI 1999: 439-446 - [c19]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Recommender systems in e-commerce. EC 1999: 158-166 - [c18]Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl:
An Algorithmic Framework for Performing Collaborative Filtering. SIGIR 1999: 230-237 - 1998
- [j6]Ed Huai-hsin Chi, John Riedl, Phillip Barry, Joseph A. Konstan:
Principles for Information Visualization Spreadsheets. IEEE Computer Graphics and Applications 18(4): 30-38 (1998) - [j5]Joseph A. Konstan, Jane Siegel:
Unifying HCI: the impossible possibility. ACM SIGCHI Bull. 30(4): 30-32 (1998) - [c17]Joseph A. Konstan, Jane Siegel:
CHI 98 basic research symposium. CHI Conference Summary 1998: 195 - [c16]Badrul Munir Sarwar, Joseph A. Konstan, Al Borchers, Jonathan L. Herlocker, Bradley N. Miller, John Riedl:
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System. CSCW 1998: 345-354 - [c15]Tara Gustafson, J. Ben Schafer, Joseph A. Konstan:
Agents in Their Midst: Evaluating User Adaptation to Agent-assisted Interfaces. IUI 1998: 163-170 - [c14]Brian P. Bailey, Joseph A. Konstan, Robert Cooley, Moses Dejong:
Nsync - A Toolkit for Building Interactive Multimedia Presentations. ACM Multimedia 1998: 257-266 - [c13]Moses Dejong, Brian P. Bailey, Joseph A. Konstan:
Creating a Multimedia Extension for Tcl Using the Java Media Framework. Tcl/Tk Conference 1998 - [c12]John V. Carlis, Joseph A. Konstan:
Interactive Visualization of Serial Periodic Data. ACM Symposium on User Interface Software and Technology 1998: 29-38 - 1997
- [j4]Joseph A. Konstan, Bradley N. Miller, David A. Maltz, Jonathan L. Herlocker, Lee R. Gordon, John Riedl:
GroupLens: Applying Collaborative Filtering to Usenet News. Commun. ACM 40(3): 77-87 (1997) - [j3]Joseph A. Konstan, Paul Sturm, John McLeod, Leonard Lichtblau:
Internet Self-Assessment in Pharmacology: A model for internet medical education. Comput. Educ. 29(2-3): 63-71 (1997) - [c11]John V. Carlis, Alex Safonov, Douglas P. Perrin, Joseph A. Konstan:
The Neighborhood Viewer: A Paradigm for Exploring Image Databases. CHI Extended Abstracts 1997: 299-300 - [c10]Ed Huai-hsin Chi, Phillip Barry, John Riedl, Joseph A. Konstan:
A spreadsheet approach to information visualization. INFOVIS 1997: 17-24 - [c9]Brian P. Bailey, Joseph A. Konstan:
Nsync-A Constraint Based Toolkit for Multimedia. Tcl/Tk Workshop 1997 - [c8]Ed Huai-hsin Chi, Joseph A. Konstan, Phillip Barry, John Riedl:
A Spreadsheet Approach to Information Visualization. ACM Symposium on User Interface Software and Technology 1997: 79-80 - [e1]Joseph A. Konstan, Brent Welch:
Proceedings of the Fifth Annual Tcl/Tk Workshop 1997, Boston, Massachusetts, USA, July 14-17, 1997. USENIX Association 1997 [contents] - 1996
- [j2]Joe Konstan:
Communication in Information Space. J. Comput. Mediat. Commun. 2(3) (1996) - [j1]James A. Schnepf, Joseph A. Konstan, David Hung-Chang Du:
Doing FLIPS: Flexible Interactive Presentation Synchronization. IEEE J. Sel. Areas Commun. 14(1): 114-125 (1996) - [c7]Joseph A. Konstan, Krishna Bharat:
Integrating Personal and Community Recommendations in Collaborative Filtering (workshop). CSCW 1996: 2 - [c6]Alex Safonov, Douglas P. Perrin, Joseph A. Konstan, John V. Carlis, Robert Elde:
Lessons from the Neighborhood Viewer: Building Innovative Collaborative Applications in Tcl and Tk. Tcl/Tk Workshop 1996 - 1995
- [c5]James A. Schnepf, Joseph A. Konstan, David Hung-Chang Du:
Doing FLIPS: FLexible Interactive Presentation Synchronization. ICMCS 1995: 213-222 - [c4]Jonathan L. Herlocker, Joseph A. Konstan:
Commands as Media: Design and Implementation of a Command Stream. ACM Multimedia 1995: 155-165 - [c3]Sunanda Iyengar, Joseph A. Konstan:
TclProp: A Data-Propagation Formula Manager for Tcl and Tk. Tcl/Tk Workshop 1995 - 1991
- [c2]Joseph A. Konstan, Lawrence A. Rowe:
Developing a GUIDE Using Object-Oriented Programming. OOPSLA 1991: 75-88 - [c1]Lawrence A. Rowe, Joseph A. Konstan, Brian C. Smith, Steve Seitz, Chung Liu:
The PICASSO applications framework. UIST 1991: 95-105
Coauthor Index
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