Measuring recall
- 1 December 1998
- journal article
- research article
- Published by SAGE Publications in Journal of Information Science
- Vol. 24 (6) , 409-417
- https://doi.org/10.1177/016555159802400604
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.Keywords
This publication has 11 references indexed in Scilit:
- Searching the World Wide WebScience, 1998
- Estimating the recall performance of Web search enginesAslib Proceedings, 1997
- Variations in relevance assessments and the measurement of retrieval effectivenessJournal of the American Society for Information Science, 1996
- The dilemma of measurement in information retrieval researchJournal of the American Society for Information Science, 1996
- Overview of the Second Text Retrieval Conference (TREC-2)Information Processing & Management, 1995
- The pragmatics of information retrieval experimentation, revisitedInformation Processing & Management, 1992
- The state of retrieval system evaluationInformation Processing & Management, 1992
- Measuring relevance judgmentsInformation Processing & Management, 1988
- Methods for estimating the number of relevant documents in a collectionInformation Processing & Management, 1982
- The paradoxical role 0f unexamined documents in the evaluation of retrieval effectiveness†Information Processing & Management, 1976