Relevance is the connection between topics that makes one useful for dealing with the other. Relevance is studied in many different fields, including cognitive...

Relevance theory is a framework for understanding the interpretation of utterances. It was first proposed by Dan Sperber and Deirdre Wilson, and is used...

Look up relevance in Wiktionary, the free dictionary. Relevance is a measure of how pertinent, connected, or applicable something is. Relevance may also...

Relevance feedback is a feature of some information retrieval and recommender systems. The idea behind relevance feedback is to take the results that are...

Relevance logic, also called relevant logic, is a kind of non-classical logic requiring the antecedent and consequent of implications to be relevantly...

In master locksmithing, key relevance is the measurable difference between an original key and a copy made of that key, either from a wax impression or...

information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user. Relevance may include concerns...

Physiological relevance is a scientific concept that refers to the applicability or significance of a particular experimental finding or biological observation...

The probabilistic relevance model was devised by Stephen E. Robertson and Karen Spärck Jones as a framework for probabilistic models to come. It is a...

Relevance, in the common law of evidence, is the tendency of a given item of evidence to prove or disprove one of the legal elements of the case, or to...

matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic...

presumption, faulty generalization, error in assigning causation, and relevance, among others. The use of fallacies is common when the speaker's goal...

An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation...

"Relevance" is the sixteenth episode of the second season of the American television drama series Person of Interest. It is the 39th overall episode of...

new models more explainable and interpretable. This includes layerwise relevance propagation (LRP), a technique for determining which features in a particular...

exercise me a good deal: questions about what different kinds and focuses of relevance there may be, how these shift in the course of a talk exchange, how to...

In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression...

or present relevance as the perfect aspect does. The perfect also contrasts with the prospective aspect, which encodes the present relevance or anticipation...

propositional calculus, or logical calculus in mathematics Relevance conditional, in relevance logic Conditional (computer programming), a statement or...

of search engine algorithms and related applications. Using a graded relevance scale of documents in a search-engine result set, DCG sums the usefulness...

and a response from another is known as an adjacency pair. A transition relevance place (TRP) is a point of possible completion (or potential end) of an...

narrow down their relevance and is usually described in its pairing with relevant feature selection as Minimum Redundancy Maximum Relevance (mRMR). This method...

has been in linguistic pragmatics—specifically in the development of Relevance Theory with French anthropologist Dan Sperber. This work has been especially...

check results for some queries and determine relevance of each result. It is not feasible to check the relevance of all documents, and so typically a technique...

to which the United States has been a party or which have had direct relevance to U.S. history. Before the United States Declaration of Independence...

fails to address the issue in question. It falls into the broad class of relevance fallacies. The irrelevant conclusion should not be confused with formal...

Arianna Huffington, and Trevor Noah. In April 2014, Spredfast acquired Mass Relevance, a social curation company whose technology aggregates and filters tweets...

networked clients. Developed for BigFix prior to its purchase by IBM, the Relevance language provides an interface displaying information about a client,...

describes its relevance for a specific subject area or industry. Domain Authority is a search engine ranking score developed by Moz. This relevance has a direct...

evaluation they represent is smaller than a given constraint number. Relevance-bounded learning discards constraints (or does not store them at all)...