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|title=GroupLens: an open architecture for collaborative filtering of netnews
|title=GroupLens: an open architecture for collaborative filtering of netnews
|journal=Proc. CSCW 1994
|journal=Proc. CSCW 1994
|page=175–186
|pages=175–186
|publisher=ACM Press
|publisher=ACM Press
|isbn=0-89791-689-1
|isbn=0-89791-689-1
Line 78: Line 78:


In 2002 the group expanded into [[social computing]] and [[virtual community|online communities]] with the addition of [[Loren Terveen]].
In 2002 the group expanded into [[social computing]] and [[virtual community|online communities]] with the addition of [[Loren Terveen]].
* Phoaks paper<ref>{{cite journal
⚫
* Phoaks paper, Loren was doing other types of recommendations -- more socially oriented
| author = Terveen, L., et al
⚫
* Collaborations with Bob Kraut and Sara Kiesler of CMU. Incorporated more social psychology work (ConversationLens)
| title = PHOAKS: a system for sharing recommendations
⚫
* The Value of Information (Mamun)
| journal = Communications of the ACM
⚫
* Also Paul Resnick, and Yan Chen of UMich. More of an economics perspective. User Modelling (Max, 2004)
| volume = 40
| issue = 3
| month = March
| year = 1997
| pages = 59&ndash;62
| publisher = ACM Press
| issn = 00010782
| doi = 10.1145/245108.245122
⚫
}}</ref>, Loren was doing other types of recommendations -- more socially oriented
⚫
* Collaborations with Bob Kraut and Sara Kiesler of CMU. Incorporated more social psychology work (ConversationLens)<ref>{{cite journal
| author = Harper, F.M., et al
| title = Talk amongst yourselves: inviting users to participate in online conversations
| journal = Proceedings of the 12th international conference on Intelligent user interfaces
| year = 2007
| pages = 62&ndash;71
| publisher = ACM Press
| isbn = 1595934812
| doi = 10.1145/1216295.1216313
}}</ref>
⚫
* The Value of Information (Mamun)<ref>{{cite journal
| author = Rashid, A.M., et al
| title = Getting to know you: learning new user preferences in recommender systems
| journal = Proceedings of the 7th international conference on Intelligent user interfaces
| year = 2002
| pages = 127&ndash;134
| publisher = ACM Press
| isbn = 1581134592
| doi = 10.1145/502716.502737
}}</ref>
⚫
* Also Paul Resnick, and Yan Chen of UMich. More of an economics perspective. User Modelling (Max, 2004)<ref>{{cite journal
| author = Harper, F.M., et al
| title = An Economic Model of User Rating in an Online Recommender System
| journal = User Modeling 2005
| series = Lecture Notes in Computer Science
| volume = 3538
| year = 2005
| pages = 307&ndash;316
| publisher = Springer Berlin / Heidelberg
| isbn = 9783540278856
| doi = 10.1007/11527886_40
}}</ref>
* NYT article, John Riedl
* NYT article, John Riedl
* Information Leakage paper (DanFr) in SIGIR
* Information Leakage paper (DanFr) in SIGIR<ref>{{cite journal
| author = Frankowski, D., et al
| title = You are what you say: privacy risks of public mentions
| journal = SIGIR Proceedings
| year = 2006
| pages = 565&ndash;572
| publisher = ACM Press
| isbn = 1595933697
| doi = 10.1145/1148170.1148267
}}</ref>
** http://www.schneier.com/blog/archives/2006/08/privacy_risks_o_1.html
** http://www.schneier.com/blog/archives/2006/08/privacy_risks_o_1.html


Revision as of 18:34, 28 December 2009

GroupLens Research, College of Science and Engineering, University of Minnesota
TypeResearch Laboratory
Established1993 by John Riedl and Paul Resnick
Academic staff
3
Postgraduates20
Location
Minneapolis
,
Minnesota
,
U.S.A.
Websitewww.grouplens.org
200px|University Wordmark


GroupLens Research is a research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems, online communities, mobile and ubiquitious technologies, digital libraries and local geographic information systems.

History

In 1992, John Riedl and Paul Resnick attended the CSCW conference together. After they heard keynote speaker Shumpei Kumon talk about the information economy[1], they originated the idea for a collaborative filtering system used for Usenet news that they'd later call GroupLens. GroupLens allowed for postings to be rated on a scale. These ratings allowed for the system to predict how much an individual would like an article, based on their ratings of previous articles. A feasibility test was done between MIT and the University of Minnesota and the published results were part of the CSCW conference of 1994.[2]

In 1995, GroupLens Research expanded the team and hired Joseph Konstan, Bradley Miller, and later others, to re-implement GroupLens over the internet with a centralized server, called the Better Bit Bureau.[3] Later, in the Spring of 1996, the first workshop on collaborative filtering was put together by Resnick and Hal Varian at the University of California, Berkeley. There, researchers from GroupLens and other projects that were studying similar systems came together to explore what each other were doing.

  • NetPerceptions: David Gardiner, Steven Snyder, Brad Miller, John Riedl, Joseph Konstan
  • E-commerce awards[4]
  • 1996-2004. Commercialized tech from GroupLens

Meanwhile, research continued at the University of Minnesota where the the area of human–computer interaction became GroupLens Research, named after the first system of collaborative filtering by Riedl and Resnick. The department was given its first grant from the National Science Foundation to study algorithmic issues in collaborative filtering[5].

When the EachMovie site closed in 1997[citation needed], the researchers behind it gave out, for free, the anonymous rating data behind the site. The GroupLens researchers Brent Dahlen and John Herlocker took advantage of this dataset and had the MovieLens movie recommendation engine running within a few months. Since then, the site has had substantial success in attracting publicity and users and its data set has been used in numerous research papers.[citation needed]

  • ABC Nightline[6]

In 2002 the group expanded into social computing and online communities with the addition of Loren Terveen.

  • Phoaks paper[7], Loren was doing other types of recommendations -- more socially oriented
  • Collaborations with Bob Kraut and Sara Kiesler of CMU. Incorporated more social psychology work (ConversationLens)[8]
  • The Value of Information (Mamun)[9]
  • Also Paul Resnick, and Yan Chen of UMich. More of an economics perspective. User Modelling (Max, 2004)[10]
  • NYT article, John Riedl
  • Information Leakage paper (DanFr) in SIGIR[11]

GroupLens Research has since diversified from collaboriative filtering into the study of online communities[citation needed], mobile and ubiquitious technologies[citation needed], digital libraries[citation needed], and local geographic information systems[citation needed].

Current Research Grants

Grant Name Dates Professors Involved
Understanding Online Volunteer Communities: Toward Theory-Based Design 2008-2013 Joseph Konstan, John Riedl, Loren Terveen
Gender Identity and HIV Risk II 2007-2012 Joseph Konstan
Understanding and Supporting Online Question-Answering Sites 2008-2011 Joseph Konstan
Structural Factors to Lower Alcohol-Related HIV Risk 2006-2011 Joseph Konstan
Collaborative Research: Solving Critical Problems in Online Groups 2007-2010 John Riedl
Men's INTernet Study II (MINTS-II) for HIV Prevention 2001-2009 Joseph Konstan
Enhanced Digital Libraries through Recommendation: Exploring the use of citations, personal bibliographies, and metadata to synthesize library services for individuals 2006-2009 Joseph Konstan and John Riedl

Contributions

  • MovieLens - Members of GroupLens Research constructed and maintain MovieLens, a non-commercial movie recommendation site that has hosted experiments in collaborative filtering algorithms[citation needed], tagging interfaces[citation needed], and other features since 1997. The datasets released by the MovieLens team have become a standard test set in the recommender systems research community
  • Wikipedia - Since their initial study into value and vandalism in Wikipedia published in 2007[12], GroupLens has provided insight wiki-work recommendations[citation needed], editing behaviors of Wikipedians[citation needed], how the encyclopedia's library is growing[citation needed] and the informal peer review system that decides what content is accepted[citation needed].
  • Cyclopath - In 2008, GroupLens member Reid Preidhorsky launched Cyclopath, a computational geowiki for local bicyclists.

List of Publications

  1. Sen, S.; Vig, J.; Riedl, J. (2009), "Tagommenders: Connecting Users to Items through Tags", Proceedings of the 2009 International World Wide Web Conference

References

  1. ^ Kumon, Shumpei (1992), "From wealth to wisdom: a change in the social paradigm", Proceedings of the 1992 ACM conference on Computer-supported cooperative work, American Association of Computing Machinery, p. 3, doi:10.1145/143457.371587, ISBN 0-89791-542-9
  2. ^ Resnick, P.; et al. "GroupLens: an open architecture for collaborative filtering of netnews". Proc. CSCW 1994. ACM Press: 175–186. doi:10.1145/192844.192905. ISBN 0-89791-689-1. {{cite journal}}: Explicit use of et al. in: |author= (help)
  3. ^ This name was later changed under threats from the Better Business Bureau.
  4. ^ MIT News Office (May 19, 1999), Firms honored at e-commerce awards, MIT, retrieved February 2008 {{citation}}: Check date values in: |accessdate= (help)
  5. ^ "CAREER: Algorithmic Issues in Collaborative Filtering". May 8, 1998. Retrieved December 14, 2009.
  6. ^ Krulwich, Robert (December 10, 1999), ABC Nightline: Soulmate, ABC, retrieved February 2008 {{citation}}: Check date values in: |accessdate= (help)
  7. ^ Terveen, L.; et al. (1997). "PHOAKS: a system for sharing recommendations". Communications of the ACM. 40 (3). ACM Press: 59–62. doi:10.1145/245108.245122. ISSN 0001-0782. {{cite journal}}: Explicit use of et al. in: |author= (help); Unknown parameter |month= ignored (help)
  8. ^ Harper, F.M.; et al. (2007). "Talk amongst yourselves: inviting users to participate in online conversations". Proceedings of the 12th international conference on Intelligent user interfaces. ACM Press: 62–71. doi:10.1145/1216295.1216313. ISBN 1595934812. {{cite journal}}: Explicit use of et al. in: |author= (help)
  9. ^ Rashid, A.M.; et al. (2002). "Getting to know you: learning new user preferences in recommender systems". Proceedings of the 7th international conference on Intelligent user interfaces. ACM Press: 127–134. doi:10.1145/502716.502737. ISBN 1581134592. {{cite journal}}: Explicit use of et al. in: |author= (help)
  10. ^ Harper, F.M.; et al. (2005). "An Economic Model of User Rating in an Online Recommender System". User Modeling 2005. Lecture Notes in Computer Science. 3538. Springer Berlin / Heidelberg: 307–316. doi:10.1007/11527886_40. ISBN 9783540278856. {{cite journal}}: Explicit use of et al. in: |author= (help)
  11. ^ Frankowski, D.; et al. (2006). "You are what you say: privacy risks of public mentions". SIGIR Proceedings. ACM Press: 565–572. doi:10.1145/1148170.1148267. ISBN 1595933697. {{cite journal}}: Explicit use of et al. in: |author= (help)
  12. ^ Priedhorsky, R.; et al. "Creating, Destroying, and Restoring Value in Wikipedia". Proc. GROUP 2007. ACM Press: 259–268. doi:10.1145/1316624.1316663. ISBN 978-1-59593-845-9. {{cite journal}}: Explicit use of et al. in: |author= (help)

External links

Retrieved from "https://en.wikipedia.org/w/index.php?title=GroupLens_Research&oldid=334589113"