Recall (information retrieval)

Recall (information retrieval)

Recall in Information Retrieval is the fraction of the documents that are relevant to the query that are successfully retrieved.

: mbox{recall}=frac{|{mbox{relevant documents}}

In binary classification, recall is called sensitivity. So it can be looked at as the probability that a relevant document is retrieved by the query.

It is trivial to achieve recall of 100% by returning all documents in response to any query. Therefore recall alone is not enough but one needs to measure the number of non-relevant documents also, for example by computing the precision.


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