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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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Star (classification)
Star classification is a type of rating scale utilizing a star glyph or similar typographical symbol. It is used by reviewers for ranking things such as films, TV shows, restaurants, and hotels. For example, a system of one to five stars is commonly used in hotel ratings, with five stars being the highest rating. Historical usage Repeated symbols used for a ranking date to Mariana Starke's 1820 guidebook, which used exclamation points to indicate works of art of special value: ...I have endeavored... to furnish Travellers with correct lists of the objects best worth notice...; at the same time marking, with one or more exclamation points (according to their merit), those works which are deemed peculiarly excellent. ''Murray's Handbooks for Travellers'' and then the ''Baedeker Guides'' (starting in 1844) borrowed this system, using stars instead of exclamation points, first for points of interest and later for hotels. The Michelin restaurant guide introduced a star as a ... [...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, purchas ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Recommender Systems
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Akron Beacon Journal
The ''Akron Beacon Journal'' is a morning newspaper in Akron, Ohio, United States. Owned by Gannett, it is the sole daily newspaper in Akron and is distributed throughout Northeast Ohio. The paper's coverage focuses on local news. The Beacon Journal has won four Pulitzer Prizes: in 1968, 1971, 1987 and 1994. History The paper was founded with the 1897 merger of the ''Summit Beacon,'' first published in 1839, and the ''Akron Evening Journal,'' founded in 1896. In 1903, the ''Beacon Journal'' was purchased by Charles Landon Knight. His son John S. Knight inherited the paper, in 1933, on Charles' death. The ''Beacon Journal'' under Knight was the original and flagship newspaper of Knight Newspaper Company, later called Knight Ridder. The McClatchy Company bought Knight Ridder in June 2006 with intentions of selling 12 Knight Ridder newspapers. On August 2, 2006, McClatchy sold the ''Beacon Journal'' to Black Press. In 2018, GateHouse Media bought the newspaper. On November ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Online Film Databases
In computer technology and telecommunications, online indicates a state of connectivity and offline indicates a disconnected state. In modern terminology, this usually refers to an Internet connection, but (especially when expressed "on line" or "on the line") could refer to any piece of equipment or functional unit that is connected to a larger system. Being online means that the equipment or subsystem is connected, or that it is ready for use. "Online" has come to describe activities performed on and data available on the Internet, for example: "online identity", "online predator", "online gambling", "online game", "online shopping", "online banking", and "online learning". Similar meaning is also given by the prefixes "cyber" and "e", as in the words "cyberspace", "cybercrime", "email", and "ecommerce". In contrast, "offline" can refer to either computing activities performed while disconnected from the Internet, or alternatives to Internet activities (such as shopping in bri ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Edwin Locke
Edwin A. Locke (born May 15, 1938) is an American psychologist and a pioneer in goal-setting theory. He is a retired Dean's Professor of Motivation and Leadership at the Robert H. Smith School of Business at the University of Maryland, College Park. He was also affiliated with the Department of Psychology. As stated by the Association for Psychological Science, "Locke is the most published organizational psychologist in the history of the field. His pioneering research has advanced and enriched our understanding of work motivation and job satisfaction. The theory that is synonymous with his name— goal-setting theory—is perhaps the most widely-respected theory in industrial-organizational psychology. His 1976 chapter on job satisfaction continues to be one of the most highly-cited pieces of work in the field." Locke is a proponent of global capitalism, was personally acquainted with the philosopher Ayn Rand, and is affiliated with the Ayn Rand Institute. He is also a critic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Social Loafing
In social psychology, social loafing is the phenomenon of a person exerting less effort to achieve a goal when they work in a group than when working alone. It is seen as one of the main reasons groups are sometimes less productive than the combined performance of their members working as individuals. Research on social loafing began with rope pulling experiments by Ringelmann, who found that members of a group tended to exert less effort in pulling a rope than did individuals alone. In more recent research, studies involving modern technology, such as online and distributed groups, have also shown clear evidence of social loafing. Many of the causes of social loafing stem from individual members' feeling their individual effort will not matter to the group. Max Ringelman, a French professor of agricultural engineering, demonstrated in the 1890s the concept of social loafing. Ringelman, who was also considered one of the founders of social psychology, made people pull on ropes bot ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
