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The formal study of relevance began in the 20th century with the study of what would later be called bibliometrics. In the 1930s and 1940s, S. C. Bradford used the term "relevant" to characterize articles relevant to a subject (cf., Bradford's law). In the 1950s, the first information retrieval systems emerged, and researchers noted the ...
Relevance is a measurement of the degree to which material (fact, detail or opinion) relates to the topic of an article. Degree of relevance should be taken into ...
Relevance is the connection between topics that makes one useful for dealing with the other. Relevance is studied in many different fields, including cognitive science, logic, and library and information science. Epistemology studies it in general, and different theories of knowledge have different implications for what is considered relevant.
the relevance (positive or negative) of the known similarities to the similarity inferred in the conclusion, [2] [3] the degree of relevant similarity (or difference) between the two objects, [2] and the amount and variety of instances that form the basis of the analogy. [2]
the "degree to which a set of inherent characteristics (quality dimensions) of an object (data) ... relevance, pertinence, or usefulness; timeliness or latency;
Relevance theory is a framework for understanding the interpretation of ... This makes interpretations of other people's thoughts interpretive to the second degree ...
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
Bibliometrics is the application of statistical methods to the study of bibliographic data, especially in scientific and library and information science contexts, and is closely associated with scientometrics (the analysis of scientific metrics and indicators) to the point that both fields largely overlap.