Explore: Relevance

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

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

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

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

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

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

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

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

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