Information about http://www-users.cs.umn.edu/~riedl/docs/Riedl_CV.pdf
John T. Riedl …
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John T. Riedl
riedl@cs.umn.edu · University of Minnesota · (612)-624-7372
Address Computer Science Department
University of Minnesota
Minneapolis, MN 55455
Education B.S. in Mathematics University of Notre Dame May 1983
M.S. in Computer Sciences Purdue University May 1985
Ph.D. in Computer Sciences Purdue University May 1990
Affiliations Member of ACM and IEEE
Research Information Filtering, Collaborative Systems, Distributed Systems.
Interests
Awards & Best Paper Award, 2007 ACM CSCW Conference
Honors (with S. Sen and seven other students) 2007
Commerce Technology Award, World Technology Network (NETP) 1999
MIT Sloan School Award for Innovation in E-Commerce (NETP) 1999
George Taylor Award for Exceptional Contributions to Teaching 1995-96
Outstanding Teacher Award (shared) 1992-93
Bush Foundation Project for Teaching Excellence 1991-92
Outstanding Teacher Award 1991-92
Outstanding Teacher Award 1990-91
(University of Minnesota Computer Science Department)
AT&T Bell Laboratories Ph.D. Scholarship Recipient 1988-90
Outstanding Paper Award, 1988 Data Engineering Conference
(with B. Bhargava) 1988
David Ross Fellowship Recipient 1986-88
Best Teaching Assistant Award, Computer Sciences, Purdue 1985
Professional Professor, University of Minnesota, 2003present
Experience Associate Professor, University of Minnesota, 19962003
Chief Scientist, Net Perceptions, 19982002
Chief Technology Officer, Net Perceptions, 19961998
Assistant Professor, University of Minnesota, 19901996
Research Assistant, Purdue University, 19851989
Teaching Assistant, Purdue University, 19831985
1
Professional Editorial board member for Journal of Electronic Commerce Technologies, a
Activities new Kluwer Journal.
Guest Editor, IEEE Internet Computing Magazine, Special issue on Personal-
ization and Privacy, November 2001.
Guest Editor, ACM ToCHI, Special issue on Recommendation Interfaces, in
press for 2005.
Program committee co-chair for IAAI 2002. Program committee chair for IAAI
2003. Workshop co-chair for CSCW 2002. Vice Chair for E-Commerce of
WWW 2003. Area Chair for SIGIR 2004 and 2005. Program committee chair
for IUI 2005. General Chair for ACM E-Commerce 2005.
Member of the program committee for CIKM '93, COOCS '94, CSCW '94,
DCS 94, CSCW '96, E-Commerce '00, IAAI '00, SIAM Data Mining 2001,
IAAI '01, SIAM Data Mining 2002, ACM SIGIR 2002, ICDM 2002, WWW
'02, IAAI '02, SIAM Data Mining 2003, IUI 2003, ACM SIGIR 2003, IUI
2006, CHI 2006, IAAI 2006.
Referee for journals (ACM Transactions on Information Systems, ACM Trans-
actions on Computer Human Interfaces, IEEE Computer, IEEE Transactions
on Knowledge and Data Engineering, ACM Transations on Computer Systems,
Software Practice and Experience), conferences (IEEE Data Engineering, Sym-
posium on Reliability in Distributed Systems, ACM User Interface Software and
Technology 2002), and the National Science Foundation.
2
Teaching
I have taught many courses in the areas of programming and systems at both the graduate and
undergraduate level, and introductory programming courses for undergraduates. I have worked
with colleagues to create and adapt these courses over the years. My teaching evaluations have
consistently been among the highest in the department, and I have won several departmental and
college awards for teaching.
I have taught many tutorials on recommender systems, including those at CSCW 1996, ACM E-
Commerce 2000, CSCW 2000, CSCW 2002, AAAI 2002, IUI 2003, CHI 2003, IJCAI 2003, AAAI
2004, and User Modelling 2005. All of these tutorials have received strong evaluations, and several
of them have been the highest ranked tutorial at the conference.
In the summer of 2002 and 2003 I taught an intensive three week residential course (with Al
Borchers) called Summer Explorations in Number Theory and Computer Science, which encour-
ages exceptional high school students from around the country to "think deeply about simple
things".
My teaching philosophy is to challenge students with deep and important ideas, and to give them
hands-on learning experiences to explore those ideas. My experience is that students respond to
challenge if the teacher makes clear the importance of the understanding they are seeking, and the
benefit of the skills they are working to attain. I enjoy teaching motivated students at all levels,
from high school to professional.
I love working individually with students, and have been blessed with great experiences work-
ing with talented students, both undergraduate and graduate. Mentoring students into effective
researchers is a wonderful experience.
Invited Talks
Before 2000 I did not track invited talks. I gave literally dozens of invited keynotes and panel
talks at industry conferences from 1996 to 2000, as Chief Technology Officer of Net Perceptions.
Since 2000 I have given the following invited talks:
1. Knowledge Discover in Databases, Panel on Personalization for Data Mining (2000)
2. Information and Content Management Conference, "The Future of Personalization for Con-
tent Management" (2000).
3. Goldman Sachs E-Commerce Conference, "Converting Browsers into Buyers with Personal-
ization" (2000). Panel presentation to 1000+.
4. Personalization Summit, "The Future of Personalization" (2000)
5. Efficient Consumer Response Conference, "Personalization and Efficient Consumer Response"
(2000). Keynote to 6000+ attendees at international conference in Turin, Italy.
6. IAAI Conference, Organized panel on "Personalization and Artificial Intelligence" (2001)
3
7. The University of Michigan Law School Law, Policy and the Convergence of Telecommuni-
cations and Computing Technologies Conference. Proceedings were published in a special
isue of the Michigan Telecommunications and Technology Law Review (2001).
8. North Carolina State University "Recommender Systems Research" (2001)
9. The University of North Carolina "Recommender Systems Research" (2001)
10. Palo Alto Research Center "Recommender Systems Research" (2001)
11. Stanford University "Recommender Systems Research" (Digital Library Research Group)
(2001)
12. New York University, "The Future of Personalization" (2001)
13. MIT Media Lab, "The Future of Personalization" (2001)
14. ACM KDD conference invited industry keynote, "The Future of Personalization" (2001)
15. Oxford University Internet Institute Personalization Workshop, "Recommender Systems for
Personalization" (2004).
16. 2005 IEEE E-Commerce Conference keynote, "Security and Privacy Issues in Recommender
Systems"
17. Unilever Corporate Research, "Recommender Systems for Community and Commerce" (2005).
18. AAAI 2005, "Overview of the IUI 2005 Conference".
19. AAAI 2005, "The best paper from IUI 2005".
20. University of Michigan, Computer Science, "Shilling Recommender Systems for Fun and
Profit" (2005).
21. University of Michigan, STIET, "Recommenders in Commerce, Content, and Community"
(2005).
22. Oregon State University, "Recommenders in Commerce, Content, and Community" (2005).
23. University of Minnesota, "Recommenders in Commerce, Content, and Community" (2005).
24. Carnegie Mellon University, "Recommenders in Commerce, Content, and Community" (2005).
25. University College, Dublin, "Helping Hands: Designing for Member-Maintained Communi-
ties" (2006)
26. University of Minnesota Headliner, "The Social Web" (2006)
27. Best Buy Corporate Headquarters, "The Social Web" (2006)
4
Ph.D. Theses Dan Cosley, July 2006: Helping Hands: Design for Member-Maintained Online
Supervised Communities. A research assistant professor at Cornell University.
Brad Miller, February 2003: Toward a Personal Recommender System. One of
the founders of Net Perceptions. A tenure-track assistant professor at Luther
College.
Ben Schafer (co-advisor with Prof. Konstan), August 2001: MetaLens: A
Framework for Multisource Recommendations. A tenure-track assistant profes-
sor at University of Northern Iowa.
Badrul Sarwar, February 2001: Sparsity, Scalability and Distribution in Rec-
ommender Systems. An adjunct professor at Santa Clara University.
Ed Chi, March 1999: A Framework for Information Visualization Spreadsheets.
A researcher at Palo Alto Research Center. Ed's thesis was published as a book
by Springer Verlag.
Mike Stein, August, 1999: Interconnecting Annotations of Software Artifacts.
A tenure-track assistant professor at Metro State University in the Twin Cities.
Mark Claypool, August 1997 Quality Planning for Distributed Collaborative
Multimedia Applications. A tenured associate professor at Worcester Polytech-
nic Institute.
Don Johnson (co-advisor Prof. Lilja), June 1997: A distributed hardware mech-
anism for process synchronization. A tenure-track assistant professor at a small
college in California.
David Gardiner (co-advisor Prof. Slagle), February 1996: Conceptual Relations
in Information Retrieval. One of the founders of Net Perceptions. A computer
consultant in the Twin Cities.
Vahid Mashayekhi, February 1995: Distribution and Asynchrony in Concurrent
Software Engineering. Senior technical manager of the Enterprise Computing
Solutions Group at Dell Computer.
Paul Bieganski, February 1995: Genetic Sequence Data Retrieval and Manip-
ulation based on Generalized Suffix Trees. Chief Technology Officer of Cargill
Ventures.
M.S.s Vahid Mashayekhi (1991), Dan Frankowski (1993), Mark Claypool (1993),
Supervised Chris Feulner (1993), Michael Maley (1994), David Chavez (thesis; 1994), Ann
Lundberg (1995), Carol Thompson (1995), Michael Stein (thesis; 1995), Ed Chi
(1996), Nisha Agarwal (1996), Olaf Holt (1996), Hannu Huhdanpaa (1999),
Mark O'Connor (2000), Irfan Ali (2002), Prateep Goplakrishnan (2003).
5
External Funding
1. NSF: "Enhanced Digital Libraries through Recommendation", (PI Joe Konstan, co-PIs John
Butler and John Riedl). Funded for $500,000 from Q1 2006 through Q1 2009.
2. NSF: "Helping Hands: Computer Support for Community-Maintained Artifacts of Lasting
Value", (PI John Riedl, co-PIs Joe Konstan and Jeffrey Kahn). Funded for $620,000 from
November 2005 to November 2008.
3. NSF: "Designing On-Line Communities to Enhance Participation Bridging Theory and
Practice", (PI: Joseph Konstan; with Joseph Konstan and Loren Terveen, University of
Minnesota, Robert E. Kraut and Sara Kiesler, Carnegie Mellon University, Paul Resnick
and Yan Chen, The University of Michigan). Funded for $2,000,000 for September 2003 to
August 2008. The University of Minnesota share of the award is $1,000,000.
4. NSF: "CISE Research Resources: Being There: Mobile Devices for Community and Com-
merce" (PI Loren Terveen; with Loren Terveen, Joseph Konstan, and Shashi Shekhar).
Funded for $120,000 for the period 9/1/02 through 8/31/04.
5. NSF: "Reading a Balanced Diet: Foraging in Information Communities" (PI Joseph Kon-
stan; with Joseph Konstan). Funded for $410,000 for the period September 1, 2001 to
September 30, 2004.
6. NSF: "Research Instrumentation: Cluster Computing for Knowledge Discovery in Diverse
Data Sets" (PI George Karypis; with George Karypis, Shashi Shekhar, and Maria Gini).
Funded for $74,516 for the period February 1, 2000 - January 31, 2003.
7. NSF: "Reflective GroupLens: Collaborative Filtering in Self-Aware Communities" (PI Joseph
Konstan; with Joseph Konstan) (IIS-9978717). Funded September 1999 for $303,264 for
three years.
8. NETP: University research funds from Net Perceptions stock sale (PI John Riedl; with
Joseph Konstan). (The University earned some money from Net Perceptions stock it owned
from intellectual property licensed to the company. The GroupLens Research group gets
a share of those funds to support ongoing research.) Endowment yielding approximately
$150,000$200,000 per year, beginning February 2000.
9. NSF: "GroupLens: Scalable Collaborative Filtering for the Internet" (PI John Riedl; with
Joseph Konstan). Funded March 1997 for $300,000 for three years.
10. Net Perceptions: "GroupLens Research" (PI John Riedl; with Joseph Konstan). Funded
1998 for $60,000 for three years.
11. NSF: "Collaborative, Distributed Database for Brain Viewing" (PI John Carlis; with John
Carlis, Joseph Konstan, Robert Elde). Funded July 1997 for $519,992 for three years.
12. ICEM Systems: "Collaborative Annotation of Software Artifacts". (PI John Riedl). Funded
November 1997 for $20,000 for one year.
6
13. AT&T: "GroupLens: An Open System for Collaborative Filtering of Netnews". (PI John
Riedl). Funded January 1996 for $24,000 for one year.
14. ICEM Systems: "Collaborative Software Inspection". (PI John Riedl). Funded October
1995 for $6,000 for one year.
15. NSF: Graduate Research Traineeship: "Panning for Gold: Information Discovery on the
Information Superhighway" (PI Ahmed Sameh; with Ahmed Sameh, Joseph Konstan, and
Jaideep Srivastava). Funded August 1995 for $550,000 for five years.
16. NSF: "A Montaged Confocal Image Database System". Funded August 1995 for $130,000
for one year (PI John Carlis; with John Carlis and Robert Elde).
17. NSF: "Information Processing for Arabidopsis cDNA Sequencing". Funded October 1994
for $900,000 for three years (PI John Riedl; with John Carlis and Ernest Retzel).
18. NSF: "Infrastructure and Tools for Distributed, Collaborative Software Engineering". Funded
October 1994 for $184,000 over three years (PI John Riedl; with Prasun Dewan of University
of North Carolina).
19. NSF: "Flexible Collaborative Software Engineering". Funded June 1992 for $50,000 over one
year. (PI John Riedl). (Prasun Dewan of Purdue University was funded separately under
the same proposal).
20. NSF: "Flexible Coordination in Collaborative Software Engineering". Funded April 4, 1990
for $160,000 over two years. (PI Prasun Dewan; with Prasun Dewan of Purdue University).
Participation in research proposals other than as PI: (i) ARL: Army High Performance Computing
Research Center (multi-million dollar proposal funded 1994 for five years), Tezduyar and Sameh,
PIs; (ii) NSF: Equipment (funded 1994 for $400,000 with $400,000 University match), Sameh and
Kaveh PIs; (iii) NSF: Institutional Infrastructure (funded 1995 for several million dollars), Du and
Woodward PIs.
7
Refereed Journal Papers
[1] Donald Johnson, David J. Lilja, and John Riedl. Circulating shared-registers for multipro-
cessor systems. Journal of Systems Architecture, 52(3):152168, March 2006.
[2] Brad N. Miller, Joseph A. Konstan, and John Riedl. Pocketlens: Toward a personal recom-
mender system. ACM Transactions on Information Systems, 22(3):437476, July 2004.
[3] Jon Herlocker, Joseph Konstan, Loren Terveen, and John Riedl. Evaluating collaborative
filtering recommender systems. ACM Transactions on Information Systems, 22(1):553, Jan-
uary 2004.
[4] J.B. Schafer, J. Konstan, and J. Riedl. Electronic commerce recommender applications. Data
Mining and Knowledge Discovery, January 2001.
[5] Jon Herlocker, Joseph A. Konstan, and John Riedl. Empirical analysis of design choices
in neighborhood-based collaborative filtering algorithms. Information Retrieval, 5:287310,
2002.
[6] Ed H. Chi, John T. Riedl, Elizabeth Shoop, and Phillip Barry. A novel visualization method
for biological sequence similarity reports. Journal of Electronic Imaging: Special Issue on
Visualization and Data Analysis, October 2000.
[7] Ed H. Chi, John Riedl, Phillip Barry, and Joseph Konstan. Principles for information visu-
alization spreadsheets. IEEE Computer Graphics and Applications (Special Issue on Visual-
ization), pages 3038, July 1998.
[8] Donald Johnson, David J. Lilja, John Riedl, and James Anderson. Low-cost, high-
performance barrier synchronization on networks of workstations. Journal of Parallel and
Distributed Computing, 40(1):131137, 1997.
[9] Joseph Konstan, Brad Miller, David Maltz, Jon Herlocker, Lee Gordon, and John Riedl.
GroupLens: Collaborative filtering for usenet news. Communications of the ACM, March
1997. Special Issue on Recommendation Systems.
[10] M. Claypool, J. Riedl, J. Carlis, G. Wilcox, R. Elde, E. Retzel, A. Georgeopolous, J. Pardo,
K. Ugurbil, B. Miller, and C. Honda. Network requirements for 3d flying in a zoomable brain
database. IEEE JSAC Special Issue on Gigabit Networking, 13(5):816827, June 1995.
[11] James Schnepf, Vahid Mashayekhi, John Riedl, and David Du. Closing the gap in distance
learning: Computer supported, participative, media-rich education. Educational Technology
Review, 1994.
[12] Vahid Mashayekhi, Janet Drake, Wei-Tek Tsai, and John Riedl. Distributed, collaborative
software inspection. IEEE Software, 10(5), September 1993.
[13] John Riedl, Vahid Mashayekhi, Jim Schnepf, Mark Claypool, and Dan Frankowski. Suite-
Sound: A system for distributed collaborative multimedia. IEEE Transactions on Knowledge
and Data Engineering, August 1993.
8
[14] Prasun Dewan and John Riedl. Towards concurrent software engineering. IEEE Computer,
January 1993.
[15] Bharat Bhargava, Enrique Mafla, and John Riedl. Experimental facility for kernel extensions
to support distributed database systems. International Journal of System Integration, 3:521,
1993.
[16] Bharat Bhargava, Enrique Mafla, and John Riedl. Communication in the Raid distributed
database system. International Journal on Computers and ISDN Systems, 1991(21):8192,
1991.
[17] Bharat Bhargava and John Riedl. A model for adaptable systems for transaction processing.
IEEE Transactions on Knowledge and Data Engineering, December 1989.
[18] Bharat Bhargava and John Riedl. The RAID distributed database system. IEEE Transac-
tions on Software Engineering, 16(6), June 1989.
Refereed Conference Papers
Many of these conferences are highly selective, with acceptance rates below 25% of papers sub-
mitted. I report the selectivity below for those conferences for which I know it (most of the recent
conferences).
[1] Dan Cosley, Dan Frankowski, Loren Terveen, and John Riedl. Using intelligent task routing
and contribution review to help communities build artifacts of lasting value. In Proceedings
of ACM CHI, Montreal, CA, 2006. Acceptance rate: 24%.
[2] Dan Cosley, Dan Frankowski, Sara Kiesler, Loren Terveen, and John Riedl. How oversight
improves member-maintained communities. In Proceedings of ACM CHI, Portland, OR, 2005.
Acceptance rate: 25%.
[3] Roberto Torres, Sean M. McNee, Mara Abel, Joseph A. Konstan, and John Riedl. Enhancing
digital libraries with techlens+. In Proceedings of the Fourth ACM/IEEE Joint Conference
on Digital Libraries, pages 228 237, June 2004. Acceptance rate: 30%.
[4] Shyong K. Lam and John Riedl. Shilling recommender systems for fun and profit. In World
Wide Web Conference, pages 393 402, New York, NY, 2004. Acceptance rate: 17%.
[5] Dan Cosley, Shyong K. Lam, Istvan Albert, Joseph Kosntan, and John Riedl. Is seeing
believing? How recommender system interfaces affect users' opinions. In Proceedings of the
ACM SIGCHI Conference on Human Factors in Computing Systems, 2003. CHI Letters 5(1).
Acceptance rate: 16%.
[6] Brad Miller, Istvan Albert, Shyong K. Lam, Joseph A. Konstan, and John Riedl. Movielens
unplugged: Experiences with a recommender system on four mobile devices. In Proceedings of
the 17th Annual Human-Computer Interaction Conference (HCI 2003), British HCI Group,
Miami, FL, September 2003. Acceptance rate: 30%.
9
[7] Sean McNee, Shyong K. Lam, Joseph A. Konstan, and John Riedl. Interfaces for eliciting new
user preferences in recommender systems. In Proceedings of the 9th International Conference
on User Modeling (UM'2003), pages 178188, June 2003. Winner of Best Student Paper
Award. Acceptance rate: 25%.
[8] Sean M. McNee, Shyong K. Lam, Joseph A. Konstan, and John Riedl. Interfaces for eliciting
new user preferences in recommender systems. In Proceedings of INTERACT '03 IFIP TC13
International Conference on Human-Computer Interaction, pages 176183, September 2003.
Acceptance rate: 34%.
[9] Sean McNee, Istvan Albert, Dan Cosley, Prateep Gopalkrishnan, Shyong K. Lam, Al Ma-
munur Rashid, Joe Konstan, and John Riedl. On the recommendation of citations for re-
search papers. In Proceedings of the ACM Conference on Computer Supported Cooperative
Work, 2002. CHI Letters 4(3). Acceptance rate: 20%.
[10] Al Mamunur Rashid, Istvan Albert, Dan Cosley, Shyong K. Lam, Sean McNee, Joseph A.
Konstan, and John Riedl. Getting to know you: Learning new user preferences in recom-
mender systems. In Proceedings of the 2002 International Conference on Intelligent User
Interfaces, pages 127134, San Francisco, CA, February 2002. Acceptance rate: 30%.
[11] J. Ben Schafer, Joseph Konstan, and John Riedl. Meta-recommendation systems: User-
controlled integration of diverse recommendations. In Proceedings of the ACM Conference
on Information and Knowledge Management, pages 4351, MacLean, VA, November 2002.
Acceptance rate: 25%.
[12] Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. Item-based collaborative
filtering recommendation algorithms. In WWW '01: Proceedings of the 10th International
Conference on World Wide Web, pages 285295, Hong Kong, 2001. ACM Press. Acceptance
rate: .
[13] Mark O'Connor, Dan Cosley, Joe Konstan, and John Riedl. Polylens: A recommender system
for groups of users. In Proceedings of the 2001 European Conference on Computer Supported
Cooperative Work, Bonn, Germany, September 2001. Acceptance rate: 19%.
[14] Jon Herlocker, Joe Konstan, and John Riedl. Explaining collaborative filtering recommen-
dations. In Proceedings of the ACM Conference on Computer Supported Cooperative Work,
2000. CHI Letters 5(1). Acceptance rate: 18%.
[15] Ed Huai-hsin Chi and John Riedl. Case study: Resource steering in a visualization system.
In Proccedings of VisSym00, 2000. Acceptance rate: .
[16] B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Riedl. Analysis of recommender algorithms
for e-commerce. In ACM E-Commerce 2000, pages 158 167, 2000. Acceptance rate: 18%.
[17] J. Ben Schafer, Joseph Konstan, and John Riedl. Recommender systems in e-commerce. In
Proceedings of the ACM Conference on Electronic Commerce (EC '99), 1999. Acceptance
rate: 29%.
10
[18] Jon Herlocker, Joseph Konstan, Al Borchers, and John Riedl. An algorithmic framework for
performing collaborative filtering. In Proceedings of the 1999 Conference on Research and
Development in Information Retrieval (SIGIR-99), August 1999. Acceptance rate: 25%.
[19] Nathan Good, Ben Schafer, Joseph Konstan, Al Borchers, Badrul Sarwar, Jon Herlocker,
and John Riedl. Combining collaborative filtering with personal agents for better recom-
mendations. In Proceedings of the 1999 Conference of the American Association of Artificial
Intelligence (AAAI-99), July 1999. Acceptance rate: 25%.
[20] Mark Claypool and John Riedl. The effects of high-speed networks on multimedia jitter.
In Proceedings of the 4th annual EUROMEDIA conference, Munich, Germany, April 1999.
Acceptance rate: .
[21] Mike Stein, Mats Heimdahl, and John Riedl. A general framework for interconnecting an-
notations of software systems. In Proceedings of the 22nd Annual International Computer
Software and Applications Conference (CompSac'98), Vienna, Austria, August 1998. Accep-
tance rate: .
[22] Ed H. Chi and John T. Riedl. An operator interaction framework for visualization systems.
In Proceedings of the Symposium on Information Visualization '98, pages 6370. IEEE CS,
October 1998. Research Triangle Park, North Carolina. Acceptance rate: .
[23] Badrul Sarwar, Joseph Konstan, Al Borchers, Jon Herlocker, Brad Miller, and John Riedl.
Using filtering agents to improve prediction quality in the GroupLens research collaborative
filtering system. In Proceedings of the 1998 Conference on Computer Supported Cooperative
Work, November 1998. Acceptance rate: 19%.
[24] Ed Huai-hsin Chi, Phillip Barry, John Riedl, and Joseph Konstan. A spreadsheet approach
to information visualization. In Proceedings of the Symposium on Information Visualization
'97, pages 1724,116. IEEE CS, 1997. Phoenix, Arizona. Acceptance rate: (Acceptance rate:
59%).
[25] Bradley N. Miller, John T. Riedl, and Joseph A. Konstan. Experience with GroupLens:
Making Usenet useful again. In Usenix 1997 Conference, Anaheim, January 1997. Acceptance
rate: 31%.
[26] Mike Stein, John Riedl, Soren Harner, and Vahid Mashayekhi. Experience with distributed,
asynchronous software inspection. In Proceedings of the International Conference on Software
Engineering, 1997. Acceptance rate: .
[27] Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, John V. Carlis, Ernest Retzel, and Phillip
Barry. Flexible information visualization of multivariate data from biological sequence sim-
ilarity searches. In Proc. IEEE Visualization '96, pages 133140, 477. IEEE CS, 1996. San
Francisco, California. Acceptance rate: .
[28] Ed Chi, Phil Barry, Elizabeth Shoop, John Carlis, Ernest Retzel, and John Riedl. Visual-
ization of biological sequence similarity search results. In IEEE Visualization Conference,
Atlanta, November 1995. Acceptance rate: .
11
[29] D. Johnson, D. Lilja, and J. Riedl. A circulating active barrier synchronization mechanism.
In International Conference on Parallel Processing, Oconomowoc Wisconsin, August 1995.
Acceptance rate: .
[30] Vahid Mashayekhi, Mike Maley, and John Riedl. User recovery of audio operations. In
International Conference on Multimedia Computing and Systems, May 1995. Acceptance
rate: .
[31] E. Shoop, E. Chi, J. Carlis, P. Bieganski, J. Riedl, N. Dalton, T. Newman, and E. Retzel. Im-
plementation and testing of an automated EST processing and analysis system. In Lawrence
Hunter and Bruce Shriver, editors, Proceedings of the 28th Annual Hawaii International Con-
ference on System Sciences, volume 5, pages 5261. IEEE, IEEE Computer Society Press,
1995. Acceptance rate: .
[32] Mark Claypool and John Riedl. Silence is golden? - The effects of silence deletion on the
CPU load of an audio conference. In Proceedings of the 1994 IEEE Multimedia Conference,
pages 918, Boston, May 1994. Acceptance rate: .
[33] J. Carlis, J. Riedl, A. Georgopoulos, G. Wilcox, R. Elde, J. H. Pardo, K. Ugurbil, E. Retzel,
J. Maguire, B. Miller, M. Claypool, T. Brelje, and C. Honda. A zoomable DBMS for brain
structure, function and behavior. In International Conference on Applications of Databases,
June 1994. Acceptance rate: .
[34] D. Johnson, D. Lilja, and J. Riedl. A distributed hardware mechanism for process syn-
chronization on shared-bus multiprocessors. In 1994 International Conference on Parallel
Processing, 1994. Acceptance rate: .
[35] Vahid Mashayekhi, Chris Feulner, and John Riedl. CAIS: Collaborative Asynchronous In-
spection of Software. In The Second ACM SIGSOFT Symposium on the Foundations of
Software Engineering, December 1994. Acceptance rate: .
[36] P. Bieganski, J. Riedl, J. Carlis, and E. Retzel. Generalized suffix trees for biological sequence
data: Applications and implementation. In Proceedings of the 27th Hawaii International
Conference on System Sciences, 1994. Acceptance rate: .
[37] E. Shoop, J. Srivastava, P. Bieganski, John Riedl, and E. Retzel. An object-oriented genet-
ics information system. In 1993 ACM Symposium on Applied Computing (special track on
Biomolecular Computing), February 1993. Acceptance rate: .
[38] Bharat Bhargava, Karl Friesen, Abdelsalam Helal, and John Riedl. Adaptability experi-
ments in the RAID distributed database system. In Proceedings of the IEEE Symposium on
Reliability in Distributed Systems, Huntsville, Alabama, October 1990. Acceptance rate: .
[39] Bharat Bhargava, Enrique Mafla, and John Riedl. Communication in the Raid distributed
database system. In Proceedings of the International Phoenix Conference on Computers and
Communications, March 1990. Acceptance rate: .
12
[40] Bharat Bhargava, Enrique Mafla, John Riedl, and Bradley Sauder. Implementation and
measurements of an efficient communication facility for distributed database systems. In
Proceedings of the 5th IEEE Data Engineering Conference, Los Angeles, CA, February 1989.
Acceptance rate: .
[41] Bharat Bhargava and John Riedl. Implementation of RAID. In Proc. of the 7th IEEE
Symposium on Reliability in Distributed Systems, Columbus, Ohio, October 1988. Acceptance
rate: .
[42] Bharat Bhargava and John Riedl. A model for adaptable systems for transaction processing.
In Proceedings of the 4th IEEE Data Engineering Conference, pages 4050, Los Angeles,
CA, February 1988. (This paper received the Outstanding Paper award at the conference.
An extended version appeared in IEEE Transactions on Knowledge and Data Engineering,
December, 1989.). Acceptance rate: .
[43] Bharat Bhargava, Tom Mueller, and John Riedl. Experimental analysis of layered Ethernet
software. In Proc of the ACM-IEEE Computer Society 1987 Fall Joint Computer Conference,
pages 559568, Dallas, Texas, October 1987. Acceptance rate: .
[44] Bharat Bhargava and John Riedl. The design of an adaptable distributed system. In Proc of
IEEE COMPSAC 86, pages 114122, October 1986. Acceptance rate: .
Books
[1] John Riedl and Joseph A. Konstan. Word of Mouse: The Hidden Marketing Power of Collab-
orative Filtering. Warner Business Books, 2002.
Book Chapters
[1] Brad Miller, John Riedl, and Joe Konstan. GroupLens for Usenet: Experiences in applying
collaborative filtering to a social information system. In C. Leug and D. Fisher, editors, From
Usenet to CoWebs: Interacting with Social Information Spaces. Springer-Verlag, 2002.
[2] Joseph A. Konstan and John Riedl. Recommender systems for the web. In V. Geroimenko
and C. Chen, editors, Visualizing the Semantic Web. Springer Verlag, 2002.
[3] Joseph A. Konstan and John Riedl. Collaborative filtering: Supporting social navigation
in large, crowded infospaces. In K. Hook, D. Benyon, and A.J. Munro, editors, Designing
Information Spaces: The Social Navigation Approach. Springer Verlag, 2002.
[4] Prasun Dewan, Vahid Mashayekhi, and John Riedl. Infrastructure and tools for collaborative
software engineering. In Tom Malone, Gary Olson, and John Smith, editors, Coordination
Theory and Collaboration Technology. Lawrence Erlbaum Associates, 2001.
[5] B. Sarwar, J. Konstan, and J. Riedl. Distributed recommender systems: New opportunities for
internet commerce. In S. Rahman and R. Bignall, editors, Internet Commerce and Software
Agents: Cases, Technologies and Opportunities. Idea Group Publishing, Hershey, PA, 2001.
13
Refereed Short Papers
[1] Al Mamunur Rashid, Kimberly Ling, Regina D Tassone, Paul Resnick, Robert Kraut, and
John Riedl. Motivating participation by displaying the value of contribution. In Extended
Abstracts of the 2006 ACM Conference on Human Factors in Computing Systems (CHI 2006),
2006. Short paper. Acceptance rate: .
[2] Sara Drenner, Franklin Harper, Dan Frankowski, John Riedl, and Loren Terveen. Insert movie
reference here: A system to bridge conversation and item-oriented web sites. In Extended
Abstracts of the 2006 ACM Conference on Human Factors in Computing Systems (CHI 2006),
2006. Short paper. Acceptance rate: .
[3] S.M. McNee, J. Riedl, and J.A. Konstan. Being accurate is not enough: How accuracy metrics
have hurt recommender systems. In Extended Abstracts of the 2006 ACM Conference on
Human Factors in Computing Systems (CHI 2006), April 2006. Short paper. Acceptance
rate: .
[4] S.M. McNee, J. Riedl, , and J.A. Konstan. Making recommendations better: An analytic model
for human-recommender interaction. In Extended Abstracts of the 2006 ACM Conference on
Human Factors in Computing Systems (CHI 2006), April 2006. Short paper. Acceptance rate:
.
[5] Brad Miller, Istvan Albert, Shyong K. Lam, Joseph A. Konstan, and John Riedl. Movielens
unplugged: Experiences with a recommender system on four mobile devices. In Proceedings
of the 2003 ACM Conference on Intelligent User Interfaces, Miami, FL, January 2003. Poster
paper. Acceptance rate: .
[6] Ed Huai-hsin Chi, Joseph Konstan, Phillip Barry, and John Riedl. A spreadsheet approach
to information visualization. In Proc. of ACM Symposium on User Interface Software and
Technology, pages 7980. ACM Press, 1997. (short paper). Acceptance rate: .
[7] Mike Stein, Vahid Mashayekhi, John Riedl, and Soren Harner. Experience with distributed,
asynchronous software inspection. In Proceedings of the Computer Supported Cooperative Work
Conference, Boston, November 1996. Short paper. Acceptance rate: .
Patents U.S. Patent #6,496,832. Visualization Spreadsheet (with E. Chi, J. Konstan,
P. Barry). Issued December 17, 2002.
U.S. Patent #6,334,127. System, Method, and Article of Manufacture for
Making Serendipity-Weighted Recommendations to a User (with P. Bieganski
and J. Konstan). Issued December 25, 2001.
U.S. Patent #6,016,475. System, Method, and Article of Manufacture for Gen-
erating Implicit Ratings based on Receiver Operating Curves (with B. Miller
and J. Konstan). Issued January 18, 2000.
U.S. Patent #5,842,199. System, Method, and Article of Manufacture for Using
Receiver Operating Curves to Evaluate Predictive Utility (with B. Miller and
J. Konstan). Issued November 24, 1998.
14
Media The New York Times ran an article on our research on the ability of recom-
Coverage mender systems to influence users in August 2003. The New Yorker magazine
ran an article based on our recommender systems research on Oct 4, 1999.
ABC Nightline ran a half-hour show based on MovieLens entitled "Soulmates"
in Nov 1999. I was on NBC Nightly News with Tom Brokaw for a short piece
on collaborative filtering in Nov 1999. Our research has also been covered in
the Wall Street Journal, and Info World, among other places, over the years.
We made many radio "appearances" to promote our book "Word of Mouse" in
2002.
University Service
1990-91
· Wrote the draft of newsgroup committee's report.
· Active member of graduate affairs committee.
· Provided C++ advice to undergraduate curriculum committee.
1991-92
· Co-chair of lab space committee (with Prof. Kumar).
· Provided feedback to undergraduate curriculum committee on new curriculum.
1992-93
· Active member of computing committee.
· Active member of head search committee.
1993-94
· Member of departmental advisory committee.
· Active member of curriculum committee.
· Participated in creating new Bachelor of Information Networking. Served as member
of degree committee.
1994-95
· Member of departmental advisory committee.
· Active member of curriculum committee.
· Member of ad hoc committee on assigning space.
1995-96
· Member of departmental advisory committee.
· Active member of curriculum committee.
1996-97 During the 1996-97 school year I was on leave to found Net Perceptions.
1997-98 During the 1997-98 school year I worked 1/3 time at the University. I participated to a
limited extent in the curriculum committee.
1998-99
· Member of departmental advisory committee.
15
· Member of undergraduate studies committee.
· Active member of recruiting committee.
· Member of blue-chip recruiting committee.
· Member of Carlson School E-Commerce recruiting committee.
2000
· Active member of recruiting committee
· Chair of external affairs committee
2001
· Elected to the departmental advisory committee for 2001-2002 academic year.
· Member of University-wide software patent committee
· Colloquium chair
· Member of advisory committee for University of Notre Dame computer science depart-
ment
2002
· Member of curriculum committee
· Member of University-wide software patent committee
· Presentation to University of Minnesota Technology into Products meeting
· Member of advisory committee for University of Notre Dame computer science depart-
ment
2003
· Elected to the departmental advisory committee for 2003-2004 academic year
· Member of recruiting committee
· Member of University-wide software patent committee
2004
· Elected to the departmental strategic planning committee for 2004-2005.
· Member of recruiting committee.
· Member of head search committee.
· Member of University-wide software patent committee.
2005
· Chair of the departmental strategic planning committee for 2005-2006.
· Member of recruiting committee.
· Member of University-wide software patent committee.
16