Information Retrieval (IR) Relevance Measure
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An Information Retrieval (IR) Relevance Measure is a item relevance measure for an IR task.
- AKA: IR Relevance, IR Pertinence, IR Aboutness.
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- Counter-Example(s):
- See: Relevance Measure, Information Need, Information Science, Information Retrieval.
References
2020
- (Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/Relevance_(information_retrieval) Retrieved:2020-9-3.
- In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user. Relevance may include concerns such as timeliness, authority or novelty of the result.
1971
- (Cooper, 1971) ⇒ W.S.Cooper (1971). "A Definition of Relevance for Information Retrieval". In: Information storage and retrieval, 7(1), 19-37. DOI:10.1016/0020-0271(71)90024-6.
- QUOTE: The concept of “relevance", sometimes also called “pertinence” or “aboutness", is central to the theory of information retrieval. Unfortunately, however, there is at present no consensus as to how this notion should be defined. The purpose of this paper is to propose and defend a definition of what it means to say that a piece of stored information is “relevant” to the information need of a retrieval system user.