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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]