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John Riedl
John Thomas Riedl
Person information
- affiliation: University of Minnesota, USA
- award (2010): ACM Software System Award
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2010 – 2019
- 2017
- [j45]Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl:
An Algorithmic Framework for Performing Collaborative Filtering. SIGIR Forum 51(2): 227-234 (2017) - 2016
- [j44]Yuqing Ren, Jilin Chen, John Riedl:
The Impact and Evolution of Group Diversity in Online Open Collaboration. Manag. Sci. 62(6): 1668-1686 (2016) - 2014
- [c99]Kenneth B. Shores, Yilin He, Kristina L. Swanenburg, Robert E. Kraut, John Riedl:
The identification of deviance and its impact on retention in a multiplayer game. CSCW 2014: 1356-1365 - 2013
- [j43]Jonathan Grudin, Gloria Mark, John Riedl:
Conference-journal hybrids. Commun. ACM 56(1): 44-49 (2013) - [j42]John Riedl, Eric Riedl:
Crowdsourcing Medical Research. Computer 46(1): 89-92 (2013) - [j41]John Riedl:
Crowdfunding Technology Innovation. Computer 46(3): 100-103 (2013) - [c98]Mohamed Sarwat, Ahmed Eldawy, Mohamed F. Mokbel, John Riedl:
PLUTUS: Leveraging Location-Based Social Networks to Recommend Potential Customers to Venues. MDM (1) 2013: 26-35 - [c97]Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl:
Rating support interfaces to improve user experience and recommender accuracy. RecSys 2013: 149-156 - [c96]Tien T. Nguyen, John Riedl:
Predicting Users' Preference from Tag Relevance. UMAP 2013: 274-280 - [c95]Morten Warncke-Wang, Dan Cosley, John Riedl:
Tell me more: an actionable quality model for Wikipedia. OpenSym 2013: 8:1-8:10 - 2012
- [j40]Shyong K. Lam, John Riedl:
Are Our Online "Friends" Really Friends? Computer 45(1): 91-93 (2012) - [j39]Aaron Halfaker, John Riedl:
Bots and Cyborgs: Wikipedia's Immune System. Computer 45(3): 79-82 (2012) - [j38]Yuqing Ren, F. Maxwell Harper, Sara Drenner, Loren G. Terveen, Sara B. Kiesler, John Riedl, Robert E. Kraut:
Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds. MIS Q. 36(3): 841-864 (2012) - [j37]Jesse Vig, Shilad Sen, John Riedl:
The Tag Genome: Encoding Community Knowledge to Support Novel Interaction. ACM Trans. Interact. Intell. Syst. 2(3): 13:1-13:44 (2012) - [j36]Anthony Jameson, John Riedl:
Introduction to the special issue on highlights of the decade in interactive intelligent systems. ACM Trans. Interact. Intell. Syst. 2(4): 19:1-19:3 (2012) - [j35]Joseph A. Konstan, John Riedl:
Recommender systems: from algorithms to user experience. User Model. User Adapt. Interact. 22(1-2): 101-123 (2012) - [c94]Andrea Forte, Judd Antin, Shaowen Bardzell, Leigh Honeywell, John Riedl, Sarah Stierch:
Some of all human knowledge: gender and participation in peer production. CSCW (Companion) 2012: 33-36 - [c93]Loxley Sijia Wang, Jilin Chen, Yuqing Ren, John Riedl:
Searching for the goldilocks zone: trade-offs in managing online volunteer groups. CSCW 2012: 989-998 - [c92]Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl:
War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities. ICWSM 2012 - [c91]Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl:
How many bits per rating? RecSys 2012: 99-106 - [c90]Michael D. Ekstrand, John Riedl:
When recommenders fail: predicting recommender failure for algorithm selection and combination. RecSys 2012: 233-236 - [c89]Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong, John Riedl:
In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network. WikiSym 2012: 20 - [e7]Steven E. Poltrock, Carla Simone, Jonathan Grudin, Gloria Mark, John Riedl:
CSCW '12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11-15, 2012 - Companion Volume. ACM 2012, ISBN 978-1-4503-1051-2 [contents] - [e6]Steven E. Poltrock, Carla Simone, Jonathan Grudin, Gloria Mark, John Riedl:
CSCW '12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11-15, 2012. ACM 2012, ISBN 978-1-4503-1086-4 [contents] - 2011
- [j34]John Riedl:
The Promise and Peril of Social Computing. Computer 44(1): 93-95 (2011) - [j33]Shyong K. Lam, John Riedl:
The Past, Present, and Future of Wikipedia. Computer 44(3): 87-90 (2011) - [j32]Shilad Sen, John Riedl:
Folksonomy Formation. Computer 44(5): 97-101 (2011) - [j31]Shyong K. Lam, John Riedl:
Expressing My Inner Gnome: Appearance and Behavior in Virtual Worlds. Computer 44(7): 103-105 (2011) - [j30]Michael D. Ekstrand, John Riedl, Joseph A. Konstan:
Collaborative Filtering Recommender Systems. Found. Trends Hum. Comput. Interact. 4(2): 175-243 (2011) - [j29]Justin J. Levandoski, Michael D. Ekstrand, Michael Ludwig, Ahmed Eldawy, Mohamed F. Mokbel, John Riedl:
RecBench: Benchmarks for Evaluating Performance of Recommender System Architectures. Proc. VLDB Endow. 4(11): 911-920 (2011) - [j28]Anthony Jameson, John Riedl:
Introduction to the Transactions on Interactive Intelligent Systems. ACM Trans. Interact. Intell. Syst. 1(1): 1:1-1:6 (2011) - [j27]John Riedl, Barry Smyth:
Introduction to special issue on recommender systems. ACM Trans. Web 5(1): 1:1-1:2 (2011) - [c88]Jesse Vig, Shilad Sen, John Riedl:
Navigating the tag genome. IUI 2011: 93-102 - [c87]Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl:
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. RecSys 2011: 133-140 - [c86]Michael D. Ekstrand, Michael Ludwig, Jack Kolb, John Riedl:
LensKit: a modular recommender framework. RecSys 2011: 349-350 - [c85]Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl:
WP: clubhouse?: an exploration of Wikipedia's gender imbalance. Int. Sym. Wikis 2011: 1-10 - [c84]Aaron Halfaker, Bryan Song, D. Alex Stuart, Aniket Kittur, John Riedl:
NICE: social translucence through UI intervention. Int. Sym. Wikis 2011: 101-104 - [c83]Aaron Halfaker, Aniket Kittur, John Riedl:
Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work. Int. Sym. Wikis 2011: 163-172 - [c82]David R. Musicant, Yuqing Ren, James A. Johnson, John Riedl:
Mentoring in Wikipedia: a clash of cultures. Int. Sym. Wikis 2011: 173-182 - 2010
- [c81]Jilin Chen, Yuqing Ren, John Riedl:
The effects of diversity on group productivity and member withdrawal in online volunteer groups. CHI 2010: 821-830 - [c80]Shyong K. Lam, Jawed Karim, John Riedl:
The effects of group composition on decision quality in a social production community. GROUP 2010: 55-64 - [c79]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 - [c78]Jesse Vig, Matthew Soukup, Shilad Sen, John Riedl:
Tag expression: tagging with feeling. UIST 2010: 323-332
2000 – 2009
- 2009
- [c77]John Riedl:
Collective Intelligence in the Social Web. AICS 2009: 2 - [c76]Shyong K. Lam, John Riedl:
Is Wikipedia growing a longer tail? GROUP 2009: 105-114 - [c75]Jesse Vig, Shilad Sen, John Riedl:
Tagsplanations: explaining recommendations using tags. IUI 2009: 47-56 - [c74]Shilad Sen, Jesse Vig, John Riedl:
Learning to recognize valuable tags. IUI 2009: 87-96 - [c73]Michael D. Ekstrand, John Riedl:
rv you're dumb: identifying discarded work in Wiki article history. Int. Sym. Wikis 2009 - [c72]Aaron Halfaker, Aniket Kittur, Robert E. Kraut, John Riedl:
A jury of your peers: quality, experience and ownership in Wikipedia. Int. Sym. Wikis 2009 - [c71]Shilad Sen, Jesse Vig, John Riedl:
Tagommenders: connecting users to items through tags. WWW 2009: 671-680 - 2008
- [j26]John Riedl:
You Recommended What? AI Mag. 29(2): 20-22 (2008) - [j25]Al Mamunur Rashid, George Karypis, John Riedl:
Learning preferences of new users in recommender systems: an information theoretic approach. SIGKDD Explor. 10(2): 90-100 (2008) - [c70]John Riedl:
Altruism, Selfishness, and Destructiveness on the Social Web. AH 2008: 9-11 - [c69]Arun Kumar Agrahri, Divya Anand Thattandi Manickam, John Riedl:
Can people collaborate to improve the relevance of search results? RecSys 2008: 283-286 - [e5]Lance Fortnow, John Riedl, Tuomas Sandholm:
Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), Chicago, IL, USA, June 8-12, 2008. ACM 2008, ISBN 978-1-60558-169-9 [contents] - 2007
- [c68]Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl:
Creating, destroying, and restoring value in wikipedia. GROUP 2007: 259-268 - [c67]Shilad Sen, F. Maxwell Harper, Adam LaPitz, John Riedl:
The quest for quality tags. GROUP 2007: 361-370 - [c66]John Riedl, Anthony Jameson:
Advanced topics in recommendation. IUI 2007: 11 - [c65]Dan Cosley, Dan Frankowski, Loren G. Terveen, John Riedl:
SuggestBot: using intelligent task routing to help people find work in wikipedia. IUI 2007: 32-41 - [c64]F. Maxwell Harper, Dan Frankowski, Sara Drenner, Yuqing Ren, Sara B. Kiesler, Loren G. Terveen, Robert E. Kraut, John Riedl:
Talk amongst yourselves: inviting users to participate in online conversations. IUI 2007: 62-71 - [c63]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 - [c62]Dan Frankowski, Shyong K. Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek, Michael Cassano, John Riedl:
Recommenders everywhere: : the WikiLens community-maintained recommender system. Int. Sym. Wikis 2007: 47-60 - [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] - 2006
- [j24]Donald Johnson, David J. Lilja, John Riedl:
Circulating shared-registers for multiprocessor systems. J. Syst. Archit. 52(3): 152-168 (2006) - [c61]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 - [c60]Sara Drenner, F. Maxwell Harper, Dan Frankowski, John Riedl, Loren G. Terveen:
Insert movie reference here: a system to bridge conversation and item-oriented web sites. CHI 2006: 951-954 - [c59]Al Mamunur Rashid, Kimberly S. Ling, Regina D. Tassone, Paul Resnick, Robert E. Kraut, John Riedl:
Motivating participation by displaying the value of contribution. CHI 2006: 955-958 - [c58]Dan Cosley, Dan Frankowski, Loren G. Terveen, John Riedl:
Using intelligent task routing and contribution review to help communities build artifacts of lasting value. CHI 2006: 1037-1046 - [c57]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 - [c56]Sean M. McNee, John Riedl, Joseph A. Konstan:
Making recommendations better: an analytic model for human-recommender interaction. CHI Extended Abstracts 2006: 1103-1108 - [c55]Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, John Riedl:
tagging, communities, vocabulary, evolution. CSCW 2006: 181-190 - [c54]Shyong K. Lam, Dan Frankowski, John Riedl:
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems. ETRICS 2006: 14-29 - [c53]Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl:
Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering. WEBKDD 2006: 147-166 - [c52]Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. Terveen, John Riedl:
You are what you say: privacy risks of public mentions. SIGIR 2006: 565-572 - [p3]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Recommender Systems for the Web. Visualizing the Semantic Web, 2nd Edition 2006: 102-123 - 2005
- [j23]John Riedl, Paul Dourish:
Introduction to the special section on recommender systems. ACM Trans. Comput. Hum. Interact. 12(3): 371-373 (2005) - [c51]Dan Cosley, Dan Frankowski, Sara B. Kiesler, Loren G. Terveen, John Riedl:
How oversight improves member-maintained communities. CHI 2005: 11-20 - [c50]Paul Resnick, John Riedl, Loren G. Terveen, Mark S. Ackerman:
Beyond threaded conversation. CHI Extended Abstracts 2005: 2138-2139 - [c49]Al Mamunur Rashid, George Karypis, John Riedl:
Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. SDM 2005: 556-560 - [c48]John Riedl:
Recommenders for Commerce, Content, and Community. CEC 2005: 5 - [e3]Robert St. Amant, John Riedl, Anthony Jameson:
Proceedings of the 10th International Conference on Intelligent User Interfaces, IUI 2005, San Diego, California, USA, January 10-13, 2005. ACM 2005, ISBN 1-58113-894-6 [contents] - [e2]John Riedl, Michael J. Kearns, Michael K. Reiter:
Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), Vancouver, BC, Canada, June 5-8, 2005. ACM 2005, ISBN 1-59593-049-3 [contents] - [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
- [j22]John Riedl, Randall W. Hill Jr.:
Guest Editor's Introduction. AI Mag. 25(3): 16 (2004) - [j21]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) - [j20]Michael P. Wellman, John Riedl:
Introduction to the Special Issue: Matching Buyers and Sellers for e-Commerce. Int. J. Electron. Commer. 8(4): 7-8 (2004) - [j19]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) - [j18]Bradley N. Miller, Joseph A. Konstan, John Riedl:
PocketLens: Toward a personal recommender system. ACM Trans. Inf. Syst. 22(3): 437-476 (2004) - [c47]Roberto Torres, Sean M. McNee, Mara Abel, Joseph A. Konstan, John Riedl:
Enhancing digital libraries with TechLens+. JCDL 2004: 228-236 - [c46]Shyong K. Lam, John Riedl:
Shilling recommender systems for fun and profit. WWW 2004: 393-402 - 2003
- [c45]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 - [c44]Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff, Joseph A. Konstan, John Riedl:
Confidence Displays and Training in Recommender Systems. INTERACT 2003 - [c43]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 - [c42]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 - [p2]Joseph A. Konstan, John Riedl:
Collaborative Filtering: Supporting Social Navigation in Large, Crowded Infospaces. Designing Information Spaces 2003: 43-82 - [e1]John Riedl, Randall W. Hill Jr.:
Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, August 12-14, 2003, Acapulco, Mexico. AAAI 2003, ISBN 1-57735-188-6 [contents] - 2002
- [b2]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 - [j17]Steve A. Chien, John Riedl:
Editorial Introduction: The Fifteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2002). AI Mag. 23(4): 11-12 (2002) - [j16]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) - [c41]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Meta-recommendation systems: user-controlled integration of diverse recommendations. CIKM 2002: 43-51 - [c40]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 - [c39]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
- [j15]J. Ben Schafer, Joseph A. Konstan, John Riedl:
E-Commerce Recommendation Applications. Data Min. Knowl. Discov. 5(1/2): 115-153 (2001) - [j14]John Riedl:
Guest Editor's Introduction: Personalization and Privacy. IEEE Internet Comput. 5(6): 29-31 (2001) - [c38]Mark O'Connor, Dan Cosley, Joseph A. Konstan, John Riedl:
PolyLens: A recommender system for groups of user. ECSCW 2001: 199-218 - [c37]John Riedl:
Recommender systems in commerce and community. KDD 2001: 15 - [c36]Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl:
Item-based collaborative filtering recommendation algorithms. WWW 2001: 285-295 - 2000
- [j13]Ed H. Chi, John Riedl, Elizabeth Shoop, Phillip Barry:
Novel visualization method for biological sequence similarity reports. J. Electronic Imaging 9(4): 394-403 (2000) - [c35]Jonathan L. Herlocker, Joseph A. Konstan, John Riedl:
Explaining collaborative filtering recommendations. CSCW 2000: 241-250 - [c34]Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl:
Analysis of recommendation algorithms for e-commerce. EC 2000: 158-167 - [c33]Ed H. Chi, John Riedl:
Case Study: Resource Steering in a Visualization System. VisSym 2000: 269-278
1990 – 1999
- 1999
- [c32]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 - [c31]Michael V. Stein, Mats Per Erik Heimdahl, John Riedl:
Enhancing Annotation Visibility for Software Inspection. ASE 1999: 243-246 - [c30]J. Ben Schafer, Joseph A. Konstan, John Riedl:
Recommender systems in e-commerce. EC 1999: 158-166 - [c29]Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl:
An Algorithmic Framework for Performing Collaborative Filtering. SIGIR 1999: 230-237 - 1998
- [j12]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) - [j11]Al Borchers, Jonathan L. Herlocker, John Riedl:
Ganging up on Information Overload. Computer 31(4): 106-108 (1998) - [c28]Michael V. Stein, Mats Per Erik Heimdahl, John Riedl:
A General Framework for Interconnecting Annotations of Software Systems. COMPSAC 1998: 421-429 - [c27]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 - [c26]Ed Huai-hsin Chi, John Riedl:
An Operator Interaction Framework for Visualization Systems. INFOVIS 1998: 63-70 - 1997
- [j10]