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GroupLens Research
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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Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a Heuristic (computer science), heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm ca ...
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Feasibility Study
A feasibility study is an assessment of the practicality of a project or system. A feasibility study aims to objectively and rationally uncover the strengths and weaknesses of an existing business or proposed venture, opportunities and threats present in the natural environment, the resources required to carry through, and ultimately the prospects for success.Justis, R. T. & Kreigsmann, B. (1979). The feasibility study as a tool for venture analysis. ''Business Journal of Small Business Management'' 17 (1) 35-42. In its simplest terms, the two criteria to judge feasibility are cost required and value to be attained. A well-designed feasibility study should provide a historical background of the business or project, a description of the product or service, accounting statements, details of the operations and management, marketing research and policies, financial data, legal requirements and tax obligations. Generally, feasibility studies precede technical development and project ...
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Better Business Bureau
Better Business Bureau (BBB) is a private, 501(c)(6) nonprofit organization founded in 1912. BBB's self-described mission is to focus on advancing marketplace trust, consisting of 97 independently incorporated local BBB organizations in the United States and Canada, coordinated under the International Association of Better Business Bureaus (IABBB) in Arlington, Virginia. Better Business Bureau is not affiliated with any governmental agency. Businesses that affiliate with BBB and adhere to its standards do so through industry self-regulation. To avoid bias, BBB's policy is to refrain from recommending or endorsing any specific business, product or service. The BBB rating system uses an A+ through F letter-grade scale. The grades represent BBB's degree of confidence that the business is operating in good faith and will resolve customer concerns filed with the BBB. BBB's ratings are explained on itRatings Overview page BBB employees evaluate a business's behavior when assigning a ...
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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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Information Economy
Information economy is an economy with an increased emphasis on informational activities and information industry, where information is valued as a capital good. The term was coined by Marc Porat, a graduate student at Stanford University, who would later co-found General Magic. Manuel Castells states that information economy is not mutually exclusive with manufacturing economy. He finds that some countries such as Germany and Japan exhibit the informatization of manufacturing processes. In a typical conceptualization, however, information economy is considered a "stage" or "phase" of an economy, coming after stages of hunting, agriculture, and manufacturing. This conceptualization can be widely observed regarding information society, a closely related but wider concept. There are numerous characterizations of the transformations some economies have undergone. Service economy, high-tech economy, late-capitalism, post-Fordism, and global economy are among the most frequentl ...
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Keynote
A keynote in public speaking is a talk that establishes a main underlying theme. In corporate or commercial settings, greater importance is attached to the delivery of a keynote speech or keynote address. The keynote establishes the framework for the following programme of events or convention agenda; frequently the role of keynote speaker will include that of convention moderator. It will also flag up a larger idea—a literary story, an individual musical piece, or event. At political or industrial conventions and expositions and at academic conferences, the keynote address or keynote speech is delivered to set the underlying tone and summarize the core message or most important revelation of the event. Keynote speeches are also given at the graduation, graduation and commencement ceremonies of colleges, university, universities, and major secondary school, high schools, usually by accomplished academics or celebrities invited by the student body. These speeches are often calle ...
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Academic Conference
An academic conference or scientific conference (also congress, symposium, workshop, or meeting) is an event for researchers (not necessarily academics) to present and discuss their scholarly work. Together with academic or scientific journals and Preprint archives such as arXiv, conferences provide an important channel for exchange of information between researchers. Further benefits of participating in academic conferences include learning effects in terms of presentation skills and “academic habitus”, receiving feedback from peers for one’s own research, the possibility to engage in informal communication with peers about work opportunities and collaborations, and getting an overview of current research in one or more disciplines. Overview Conferences usually encompass various presentations. They tend to be short and concise, with a time span of about 10 to 30 minutes; presentations are usually followed by a . The work may be bundled in written form as academic pape ...
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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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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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