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Recommendations
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 2 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cold Start (recommender Systems)
Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information. Systems affected The cold start problem is a well known and well researched problem for recommender systems. Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items ( e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user. Typically, a recommender system compares the user's profile to some reference characteristics. These characteristics may be related to item characteristics (content-based filtering) or the user's social environment and past behavior ( collaborative filtering). Depending on the system, the user can be associated to various kinds of interactions: ratings, bookmarks, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Playlist
A playlist is a list of video or audio files that can be played back on a media player either sequentially or in a shuffled order. In its most general form, an audio playlist is simply a list of songs, but sometimes a loop. The term has several specialized meanings in the realms of television broadcasting, radio broadcasting and personal computers. A playlist can also be a list of recorded titles on a digital video disk. On the Internet, a playlist can be a list of chapters in a movie serial; for example, Flash Gordon in the Planet Mongo is available on YouTube as a playlist of thirteen consecutive video chapters. Radio The term originally came about in the early days of top 40 radio formats when stations would devise (and, eventually, publish) a limited list of songs to be played. The term would go on to refer to the entire catalog of songs that a given radio station (of any format) would draw from. Additionally, the term was used to refer to an ordered list of songs play ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Online Dating
Online dating, also known as Internet dating, Virtual dating, or Mobile app dating, is a relatively recent method used by people with a goal of searching for and interacting with potential romantic or sexual partners, via the internet. An online dating service is a company that promotes and provides specific mechanisms for the practice of online dating, generally in the form of dedicated websites or software applications accessible on personal computers or mobile devices connected to the internet. A wide variety of unmoderated matchmaking services, most of which are profile-based with various communication functionalities, is offered by such companies. Online dating services allow users to become "members" by creating a profile and uploading personal information including (but not limited to) age, gender, sexual orientation, location, and appearance. Most services also encourage members to add photos or videos to their profile. Once a profile has been created, members can vie ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 Si ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pandora Radio
Pandora is a subscription-based music streaming service owned by Sirius XM Holdings based in Oakland, California, United States. The service carries a focus on recommendations based on the " Music Genome Project" — a means of classifying individual songs by musical traits. The service originally launched in the consumer market as an internet radio service, which would generate personalized channels based on these traits and songs liked by the user; this service is available in an advertising-supported tier, and a subscription-based version. In 2017, the service launched ''Pandora Premium'', an on-demand version of the service more in line with contemporary competitors. The company was founded in 2000 as Savage Beast Technologies, and initially conceived as a business-to-business company licensing the Music Genome Project to retailers as a recommendation platform. In 2005, the company shifted its focus to the consumer market by launching Pandora as an internet radio produc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 Int ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ret ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 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 ..., 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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
