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GroupLens
GroupLens Research is a human–computer interaction research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous technologies, digital libraries, and local geographic information systems. The GroupLens lab was one of the first to study automated recommender systems with the construction of the "GroupLens" recommender, a Usenet article recommendation engine, and MovieLens, a popular movie recommendation site used to study recommendation engines, tagging systems, and user interfaces. The lab has also gained notability for its members' work studying open content communities such as Cyclopath, a geo-wiki that was used in the Twin Cities to help plan the regional cycling system. History Formation In 1992, John Riedl and Paul Resnick attended the CSCW conference together. After they heard keynote speaker Shumpei K ...
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GroupLens Research is a human–computer interaction research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous technologies, digital libraries, and local geographic information systems. The GroupLens lab was one of the first to study automated recommender systems with the construction of the "GroupLens" recommender, a Usenet article recommendation engine, and MovieLens, a popular movie recommendation site used to study recommendation engines, tagging systems, and user interfaces. The lab has also gained notability for its members' work studying open content communities such as Cyclopath, a geo-wiki that was used in the Twin Cities to help plan the regional cycling system. History Formation In 1992, John Riedl and Paul Resnick attended the CSCW conference together. After they heard keynote speaker Shumpei Kumon ...
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MovieLens
MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using collaborative filtering of members' movie ratings and movie reviews. It contains about 11 million ratings for about 8500 movies. MovieLens was created in 1997 by GroupLens Research, a research lab in the Department of Computer Science and Engineering at the University of Minnesota, in order to gather research data on personalized recommendations. History MovieLens was not the first recommender system created by GroupLens. In May 1996, GroupLens formed a commercial venture called Net Perceptions, which served clients that included E! Online and Amazon.com. E! Online used Net Perceptions' services to create the recommendation system for Moviefinder.com, while Amazon.com used the company's technology to form its early recommendation engine for consumer purchases. When another movie recommendation site, eachmovie.org, closed in 1997, t ...
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Recommender System
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that provide suggestions for items that are most pertinent to a particular user. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer. Recommender systems are used in a variety of areas, with commonly recognised examples taking the form of playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders.Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh ZadeWTF:The who-to-follow system at Twitter Proceedings of the ...
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Paul Resnick
Paul Resnick is Michael D. Cohen Collegiate Professor of Information and Associate Dean for Research and Faculty Affairs at the School of Information at the University of Michigan. Education Paul Resnick was born in Michigan and attended the University of Michigan for his undergraduate studies. He received a Ph.D. at the Massachusetts Institute of Technology (MIT) in 1992 in Computer Science. After graduating from MIT, Resnick worked at AT&T Labs and AT&T Bell Labs and was an assistant Professor at the MIT Sloan School of Management. Resnick became an assistant professor at the University of Michigan in 1997, and subsequently became Associate Professor, Professor, and then Associate Dean. Awards Resnick was elected to the CHI Academy in 2017. He received the 2010 ACM Software Systems Award for his work on the GroupLens Collaborative Filtering Recommender System which showed how distributed users could personalize recommendations via ratings. He also received the ACM Special Inter ...
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John Riedl
John Thomas Riedl (January 16, 1962 – July 15, 2013) was an American computer scientist and the McKnight Distinguished Professor at the University of Minnesota. His published works include highly influential research on the social web, recommendation systems, and collaborative systems. Life and work John Riedl received his B.S. in Mathematics from the University of Notre Dame in 1983 and his M.S. in Computer Science from Purdue University in 1985. He completed his Ph.D. in Computer Science at Purdue University in 1990. He became an assistant professor at the University of Minnesota in 1990 and was promoted to associate professor in 1996 and again to professor in 2003. At the university, he led the GroupLens Research group. In 2012 he was awarded the McKnight Distinguished Professor position. During his time as a professor he advised 16 Ph.D. students who went on to take faculty positions and work at technology companies like Google, PARC, Intel, eBay, and the Wikimedia Founda ...
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Usenet
Usenet () is a worldwide distributed discussion system available on computers. It was developed from the general-purpose Unix-to-Unix Copy (UUCP) dial-up network architecture. Tom Truscott and Jim Ellis conceived the idea in 1979, and it was established in 1980.''From Usenet to CoWebs: interacting with social information spaces'', Christopher Lueg, Danyel Fisher, Springer (2003), , Users read and post messages (called ''articles'' or ''posts'', and collectively termed ''news'') to one or more topic categories, known as newsgroups. Usenet resembles a bulletin board system (BBS) in many respects and is the precursor to the Internet forums that have become widely used. Discussions are threaded, as with web forums and BBSs, though posts are stored on the server sequentially.The jargon file v4.4.7
, Jargon File Archive.

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Joseph Konstan
Joseph A. Konstan is an American computer scientist, the Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota. His research interests are human computer interaction, social computing Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and tech ..., collaborative information filtering, online communities and medical and health applications of Internet technology. He is best known for his work in collaborative filtering recommenders (the GroupLens project), and for his work in online HIV prevention. He received the SIGCHI Lifetime Service Award in 2013. References University of California, Berkeley alumni Harvard University alumni University of Minnesota faculty American computer scientists Human–computer intera ...
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Social Computing
Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. Thus, blogs, email, instant messaging, social network services, wikis, social bookmarking and other instances of what is often called social software illustrate ideas from social computing. History Social computing begins with the observation that humans—and human behavior—are profoundly social. From birth, humans orient to one another, and as they grow, they develop abilities for interacting with each other. This ranges from expression and gesture to spoken and written language. As a consequence, people are remarkably sensitive to the behavior of those around them and make countless decisions that are shaped by their social context. Whether it's wrapping up a talk when the audience starts fidgeting, choosing the ...
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Collaborative Filtering
Collaborative filtering (CF) is a technique used by recommender systems.Francesco Ricci and Lior Rokach and Bracha ShapiraIntroduction to Recommender Systems Handbook Recommender Systems Handbook, Springer, 2011, pp. 1-35 Collaborative filtering has two senses, a narrow one and a more general one. In the newer, narrower sense, collaborative filtering is a method of making automatic predictions (filtering) about the interests of a user by collecting preferences or taste information from many users (collaborating). The underlying assumption of the collaborative filtering approach is that if a person ''A'' has the same opinion as a person ''B'' on an issue, A is more likely to have B's opinion on a different issue than that of a randomly chosen person. For example, a collaborative filtering recommendation system for preferences in television programming could make predictions about which television show a user should like given a partial list of that user's tastes (likes or dislikes ...
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Computer Supported Cooperative Work
Computer-supported cooperative work (CSCW) is the study of how people utilize technology collaboratively, often towards a shared goal. CSCW addresses how computer systems can support collaborative activity and coordination. More specifically, the field of CSCW seeks to analyze and draw connections between currently understood human psychological and social behaviors and available collaborative tools, or groupware. Often the goal of CSCW is to help promote and utilize technology in a collaborative way, and help create new tools to succeed in that goal. These parallels allow CSCW research to inform future design patterns or assist in the development of entirely new tools. History The origins of CSCW as a field are intertwined with the rise and subsequent fall of office automation as response to some of the criticisms, particularly the failure to address the impact human psychological and social behaviors can have. Greif and Cashman created the term CSCW to help employees seeking ...
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University Of Minnesota Institute Of Technology
The College of Science and Engineering (CSE) is one of the colleges of the University of Minnesota in Minneapolis, Minnesota. On July 1, 2010, the college was officially renamed from the Institute of Technology (IT). It was created in 1935 by bringing together the university's programs in engineering, mining, architecture, and chemistry. Today, CSE contains 12 departments and 24 research centers that focus on engineering, the physical sciences, and mathematics. Rankings The programs offered by the College of Science and Engineering are rated among the best in the nation, particularly in Chemical Engineering, Aerospace Engineering, and Mechanical Engineering. Departments * Aerospace Engineering and Mechanics * Biomedical Engineering * Chemical Engineering and Materials Science * Chemistry * Civil, Environmental, and GeoEngineering * Computer Science and Engineering * Earth Sciences (formerly called Geology and Geophysics) * Electrical and Computer Engineering * Industria ...
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Virtual Community
A virtual community is a social network of individuals who connect through specific social media, potentially crossing geographical and political boundaries in order to pursue mutual interests or goals. Some of the most pervasive virtual communities are online communities operating under social networking services. Howard Rheingold discussed virtual communities in his book, '' The Virtual Community'', published in 1993. The book's discussion ranges from Rheingold's adventures on The WELL, computer-mediated communication, social groups and information science. Technologies cited include Usenet, MUDs (Multi-User Dungeon) and their derivatives MUSHes and MOOs, Internet Relay Chat (IRC), chat rooms and electronic mailing lists. Rheingold also points out the potential benefits for personal psychological well-being, as well as for society at large, of belonging to a virtual community. At the same time, it showed that job engagement positively influences virtual communities of practice ...
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