Measuring recall

by: Martin Fricke

Journal of Information Science, Vol. 24, No. 6. (1 December 1998), pp. 409-417.

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Abstract

Recall, the proportion of the relevant documents that is retrieved, is a key indicator of the performance of an information retrieval system. With large information systems, like the World Wide Web on the Internet, recall is almost impossible to measure or estimate by all standard techniques. A proposal needle hiding' is made as a technique to estimate recall. It is also shown that ranking by relative recall does not have to be isomorphic to ranking by recall; hence the use of relative recall for comparative evaluation might not be entirely sound. 10.1177/016555159802400604

@article{citeulike:2833489, abstract = {Recall, the proportion of the relevant documents that is retrieved, is a key indicator of the performance of an information retrieval system. With large information systems, like the World Wide Web on the Internet, recall is almost impossible to measure or estimate by all standard techniques. A proposal needle hiding' is made as a technique to estimate recall. It is also shown that ranking by relative recall does not have to be isomorphic to ranking by recall; hence the use of relative recall for comparative evaluation might not be entirely sound. 10.1177/016555159802400604}, author = {Fricke, Martin }, citeulike-article-id = {2833489}, doi = {http://dx.doi.org/10.1177/016555159802400604}, journal = {Journal of Information Science}, keywords = {filter, measuring, recall, relative}, month = {December}, number = {6}, pages = {409--417}, posted-at = {2008-05-26 11:46:38}, priority = {2}, title = {Measuring recall}, url = {http://dx.doi.org/10.1177/016555159802400604}, volume = {24}, year = {1998} }

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TY - JOUR ID - citeulike:2833489 L3 - citeulike-article-id:2833489 TI - Measuring recall JF - Journal of Information Science VL - 24 IS - 6 SP - 409 EP - 417 N2 - Recall, the proportion of the relevant documents that is retrieved, is a key indicator of the performance of an information retrieval system. With large information systems, like the World Wide Web on the Internet, recall is almost impossible to measure or estimate by all standard techniques. A proposal needle hiding' is made as a technique to estimate recall. It is also shown that ranking by relative recall does not have to be isomorphic to ranking by recall; hence the use of relative recall for comparative evaluation might not be entirely sound. 10.1177/016555159802400604 KW - filter KW - measuring KW - recall KW - relative AU - Fricke, Martin PY - 1998/12/01/ UR - http://dx.doi.org/10.1177/016555159802400604 ER -

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