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Recommendation Algorithm
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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Information Filtering System
An information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics. These characteristics may originate from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach). Whereas in information transmission filter (signal processing), signal processing filters are used against syntax-disrupting noise on the bit-level, the methods employed in information filtering act on the semantic level. The range of machine methods employed builds on the same principles as those for information extraction. A notable application can be found in the field of email spam filters. Thus, it is not only the information expl ...
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Association For Computing Machinery
The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, claiming nearly 110,000 student and professional members . Its headquarters are in New York City. The ACM is an umbrella organization for academic and scholarly interests in computer science ( informatics). Its motto is "Advancing Computing as a Science & Profession". History In 1947, a notice was sent to various people: On January 10, 1947, at the Symposium on Large-Scale Digital Calculating Machinery at the Harvard computation Laboratory, Professor Samuel H. Caldwell of Massachusetts Institute of Technology spoke of the need for an association of those interested in computing machinery, and of the need for communication between them. ..After making some inquiries during May and June, we believe there is ample interest to ...
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Matrix Factorization (recommender Systems)
Matrix factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item interaction matrix into the product of two lower dimensionality rectangular matrices. This family of methods became widely known during the Netflix prize challenge due to its effectiveness as reported by Simon Funk in his 2006 blog post, where he shared his findings with the research community. The prediction results can be improved by assigning different regularization weights to the latent factors based on items' popularity and users' activeness. Techniques The idea behind matrix factorization is to represent users and items in a lower dimensional latent space. Since the initial work by Funk in 2006 a multitude of matrix factorization approaches have been proposed for recommender systems. Some of the most used and simpler ones are listed in the following sections. Funk MF The original algorithm proposed by Simo ...
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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 dislike ...
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Gediminas Adomavicius
Gediminas ( la, Gedeminne, ; – December 1341) was the king or Grand Duke of Lithuania from 1315 or 1316 until his death. He is credited with founding this political entity and expanding its territory which later spanned the area ranging from the Baltic Sea to the Black Sea. Also seen as one of the most significant individuals in early Lithuanian history, he was responsible for both building Vilnius, the capital of Lithuania, and establishing a dynasty that later came to rule other European countries such as Poland, Hungary and Bohemia. As part of his legacy, he gained a reputation for being a champion of paganism, who successfully diverted attempts to Christianize his country by skillful negotiations with the Pope and other Christian rulers. Biography Origin Gediminas was born in about 1275. Because written sources of the era are scarce, Gediminas' ancestry, early life, and assumption of the title of Grand Duke in ca. 1316 are obscure and continue to be the subject of schol ...
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ACM Software Systems Award
The ACM Software System Award is an annual award that honors people or an organization "for developing a software system that has had a lasting influence, reflected in contributions to concepts, in commercial acceptance, or both". It is awarded by the Association for Computing Machinery (ACM) since 1983, with a cash prize sponsored by IBM of currently $35,000. Recipients The following is a list of recipients of the ACM Software System Award: See also * Software system * List of computer science awards This list of computer science awards is an index to articles on notable awards related to computer science. It includes lists of awards by the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, other comput ... References External links Software System Award — ACM Awards{{Association for Computing Machinery Awards established in 1983 Software System Award Computer science awards ...
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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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Pattie Maes
Pattie Maes (born 1961) is a professor in MIT's program in Media Arts and Sciences. She founded and directed the MIT Media Lab's Fluid Interfaces Group. Previously, she founded and ran the Software Agents group. She served for several years as both the head and associate head of the Media Lab's academic program. Prior to joining the Media Lab, Maes was a visiting professor and a research scientist at the MIT Artificial Intelligence Lab. She holds bachelor's and PhD degrees in computer science from the Vrije Universiteit Brussel in Belgium. Maes' areas of expertise are human–computer interaction, intelligent interfaces and ubiquitous computing. Maes is the editor of three books, and is an editorial board member and reviewer for numerous professional journals and conferences. She has received several awards: Newsweek magazine named her one of the "100 people for the new century"; TIME Digital selected her as a member of the ''Cyber-Elite'' (the top 50 technological pioneers of ...
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SICS
RISE SICS (previously Swedish Institute of Computer Science) is a leading research institute for applied information and communication technology in Sweden, founded in 1985. It explores the digitalization of products, services and businesses. In January 2005, SICS had about 88 employees, of which 77 were researchers, 30 with PhD degrees. , SICS had about 200 employees, of which 160 were researchers, 83 with PhD degrees. The institute is headquartered in the Kista district of Stockholm, with the main office in the Electrum building. Software Several well-known software packages have been developed at SICS: * Contiki, an operating system for small-memory embedded devices * Delegent, an authorization server * Distributed Interactive Virtual Environment or DIVE in short *lwIP, a TCP/IP stack for embedded systems * Oz-Mozart, a multi-platform programming system *Nemesis, a concept exokernel operating system * Protothreads, light-weight stackless threads *Quintus Prolog and SICStu ...
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Jussi Karlgren
Jussi Karlgren is a Swedish computational linguist, research scientist at Spotify, and co-founder of text analytics company Gavagai AB. He holds a PhD in computational linguistics from Stockholm University, and the title of docent (adjoint professor) of language technology at Helsinki University. Jussi Karlgren is known for having pioneered the application of computational linguistics to stylometry, for having first formulated the notion of a recommender system, and for his continued work in bringing non-topical features of text to the attention of the information access research field. Karlgren's research is focused on questions relating to information access, genre and stylistics, distributional pragmatics, and evaluation of information access applications and distributional models. Karlgren is of half Finns, Finnish descent and is fluent in Finnish language, Finnish. References Karlgren's publications at Google Scholar
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Elaine Rich
Elaine Alice Rich is an American computer scientist, known for her textbooks on artificial intelligence and automata theory and for her research on user modeling. She is retired as a distinguished senior lecturer from the University of Texas at Austin. Education and career Rich is the daughter of applied mathematician Robert Peter Rich. She majored in linguistics and applied mathematics at Brown University, graduating magna cum laude in 1972. She completed her Ph.D. at Carnegie Mellon University in 1979. Her doctoral dissertation, ''Building and Exploiting User Models'', was supervised by George G. Robertson. She joined the University of Texas at Austin as an assistant professor in 1979, but in 1985 moved to the Microelectronics and Computer Technology Corporation (MCC) as a researcher in the Human Interface Laboratory and Knowledge-Based Natural Language Project. At MCC she became director of the Artificial Intelligence Laboratory in 1988. She left MCC in 1993. In 1998 she retu ...
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