Mooers's Law
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Mooers's Law
Mooers's law is a comment about the use of information retrieval systems made by the American computer scientist Calvin Mooers in 1959: Original interpretation Mooers argued that information is at risk of languishing unused due not only on the effort required to assimilate it but also to any impliciations of the information that may conflict with the user's prior information. In learning new information, a user may end up proving their work incorrect or irrelevant. Mooers argued that users prefer to remain in a state of safety in which new information is ignored in an attempt to save potential embarrassment or reprisal from supervisors. Out-of-context interpretation The more common interpretation of Mooers's law is similar to Zipf's principle of least effort. It emphasizes the amount of effort needed to use and understand an information retrieval system before the information seeker gives up; it is often paraphrased to increase the focus on the retrieval system: In this ...
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Information Retrieval
Information retrieval (IR) in computing and information science is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a software system that provides access to books, journals and other documents; stores and manages those documents. Web search engines are the most visible IR applications. Overview An information retrieval process begins when a user or searcher enters a query into the system. Queries are formal statements of information needs, for example search strings in web search engines. In inf ...
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Computer Scientist
A computer scientist is a person who is trained in the academic study of computer science. Computer scientists typically work on the theoretical side of computation, as opposed to the hardware side on which computer engineers mainly focus (although there is overlap). Although computer scientists can also focus their work and research on specific areas (such as algorithm and data structure development and design, software engineering, information theory, database theory, computational complexity theory, numerical analysis, programming language theory, computer graphics, and computer vision), their foundation is the theoretical study of computing from which these other fields derive. A primary goal of computer scientists is to develop or validate models, often mathematical, to describe the properties of computational systems (processors, programs, computers interacting with people, computers interacting with other computers, etc.) with an overall objective of discovering des ...
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Calvin Mooers
Calvin Northrup Mooers (October 24, 1919 – December 1, 1994), was an American computer scientist known for his work in information retrieval and for the programming language TRAC. Early life Mooers was a native of Minneapolis, Minnesota, attended the University of Minnesota, and received a bachelor's degree in mathematics in 1941. He worked at the Naval Ordnance Laboratory from 1941 to 1946, and then attended the Massachusetts Institute of Technology, where he earned a master's degree in mathematics and physics. At M.I.T. he developed a mechanical system using superimposed codes of descriptors for information retrieval called Zatocoding. He founded the Zator Company in 1947 to market this idea, and pursued work in information theory, information retrieval, and artificial intelligence. He coined the term "information retrieval", using it first in a conference paper presented in March 1950. See also a short paper published later that year from Mooers. Mooers's law He coined ...
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George Kingsley Zipf
George Kingsley Zipf (; January 7, 1902 – September 25, 1950), was an American linguist and philologist who studied statistical occurrences in different languages.. Zipf earned his bachelors, masters, and doctoral degrees from Harvard University, although he also studied at the University of Bonn and the University of Berlin. He was Chairman of the German Department and University Lecturer (meaning he could teach any subject he chose) at Harvard University. He worked with Chinese and demographics, and much of his effort can explain properties of the Internet, distribution of income within nations, and many other collections of data. Zipf's law He is the eponym of Zipf's law, which states that while only a few words are used very often, many or most are used rarely, :P_n \sim 1/n^a where ''Pn'' is the frequency of a word ranked ''n''th and the exponent ''a'' is almost 1. This means that the second item occurs approximately 1/2 as often as the first, and the third item 1/3 a ...
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Principle Of Least Effort
The principle of least effort is a broad theory that covers diverse fields from evolutionary biology to webpage design. It postulates that animals, people, and even well-designed machines will naturally choose the path of least resistance or "effort". It is closely related to many other similar principles: see Principle of least action or other articles listed below. This is perhaps best known or at least documented among researchers in the field of library and information science. Their principle states that an information-seeking client will tend to use the most convenient search method in the least exacting mode available. Information-seeking behavior stops as soon as minimally acceptable results are found. This theory holds true regardless of the user's proficiency as a searcher, or their level of subject expertise. Also, this theory takes into account the user’s previous information-seeking experience. The user will use the tools that are most familiar and easy to use that ...
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Availability Heuristic
The availability heuristic, also known as availability bias, is a mental shortcut that relies on immediate examples that come to a given person's mind when evaluating a specific topic, concept, method, or decision. This heuristic, operating on the notion that, if something can be recalled, it must be important, or at least more important than alternative solutions not as readily recalled, is inherently biased toward recently acquired information. The mental availability of an action's consequences is positively related to those consequences' perceived magnitude. In other words, the easier it is to recall the consequences of something, the greater those consequences are often perceived to be. Most notably, people often rely on the content of their recall if its implications are not called into question by the difficulty they have in recalling it. Overview and history In the late 1960s and early 1970s, Amos Tversky and Daniel Kahneman began work on a series of papers examining "heur ...
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Cognitive Dissonance
In the field of psychology, cognitive dissonance is the perception of contradictory information, and the mental toll of it. Relevant items of information include a person's actions, feelings, ideas, beliefs, values, and things in the environment. Cognitive dissonance is typically experienced as psychological stress when persons participate in an action that goes against one or more of those things. According to this theory, when two actions or ideas are not psychologically consistent with each other, people do all in their power to change them until they become consistent. The discomfort is triggered by the person's belief clashing with new information perceived, wherein the individual tries to find a way to resolve the contradiction to reduce their discomfort.Festinger, L. (1957). ''A Theory of Cognitive Dissonance''. California: Stanford University Press. In '' When Prophecy Fails: A Social and Psychological Study of a Modern Group That Predicted the Destruction of the World'' ( ...
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Confirmation Bias
Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values. People display this bias when they select information that supports their views, ignoring contrary information, or when they interpret ambiguous evidence as supporting their existing attitudes. The effect is strongest for desired outcomes, for emotionally charged issues, and for deeply entrenched beliefs. Confirmation bias cannot be eliminated, but it can be managed, for example, by education and training in critical thinking skills. Biased search for information, biased interpretation of this information, and biased memory recall, have been invoked to explain four specific effects: # ''attitude polarization'' (when a disagreement becomes more extreme even though the different parties are exposed to the same evidence) # ''belief perseverance'' (when beliefs persist after the evidence for them is shown to be false) # the ''irr ...
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Satisficing
Satisficing is a decision-making strategy or cognitive heuristic that entails searching through the available alternatives until an acceptability threshold is met. The term ''satisficing'', a portmanteau of ''satisfy'' and ''suffice'', was introduced by Herbert A. Simon in 1956, although the concept was first posited in his 1947 book ''Administrative Behavior''. Simon used satisficing to explain the behavior of decision makers under circumstances in which an optimal solution cannot be determined. He maintained that many natural problems are characterized by computational intractability or a lack of information, both of which preclude the use of mathematical optimization procedures. He observed in his Nobel Prize in Economics speech that "decision makers can satisfice either by finding optimum solutions for a simplified world, or by finding satisfactory solutions for a more realistic world. Neither approach, in general, dominates the other, and both have continued to co-exist in the w ...
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Charles Babbage Institute
The IT History Society (ITHS) is an organization that supports the history and scholarship of information technology by encouraging, fostering, and facilitating archival and historical research. Formerly known as the Charles Babbage Foundation, it advises historians, promotes collaboration among academic organizations and museums, and assists IT corporations in preparing and archiving their histories for future studies. Activities The IT History Society provides background information to those with an interest in the history of Information Technology, including papers that provide advice on how to perform historical work and how historical activities can benefit private sector organizations. It tracks historical projects seeking funding as well as projects underway and completed. It maintains online, publicly available, lists of events pertaining to IT history, IT history resources, an IT Honor Roll acknowledging more than 700 individuals who have made a noteworthy contribution ...
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Computer Architecture Statements
A computer is a machine that can be programmed to carry out sequences of arithmetic or logical operations ( computation) automatically. Modern digital electronic computers can perform generic sets of operations known as programs. These programs enable computers to perform a wide range of tasks. A computer system is a nominally complete computer that includes the hardware, operating system (main software), and peripheral equipment needed and used for full operation. This term may also refer to a group of computers that are linked and function together, such as a computer network or computer cluster. A broad range of industrial and consumer products use computers as control systems. Simple special-purpose devices like microwave ovens and remote controls are included, as are factory devices like industrial robots and computer-aided design, as well as general-purpose devices like personal computers and mobile devices like smartphones. Computers power the Internet, which l ...
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Empirical Laws
Scientific laws or laws of science are statements, based on repeated experiments or observations, that describe or predict a range of natural phenomena. The term ''law'' has diverse usage in many cases (approximate, accurate, broad, or narrow) across all fields of natural science (physics, chemistry, astronomy, geoscience, biology). Laws are developed from data and can be further developed through mathematics; in all cases they are directly or indirectly based on empirical evidence. It is generally understood that they implicitly reflect, though they do not explicitly assert, causal relationships fundamental to reality, and are discovered rather than invented. Scientific laws summarize the results of experiments or observations, usually within a certain range of application. In general, the accuracy of a law does not change when a new theory of the relevant phenomenon is worked out, but rather the scope of the law's application, since the mathematics or statement representing ...
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