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Threshold setting in adaptive filtering

Stephen Robertson (Microsoft Research Ltd, St George House, 1 Guildhall Street Cambridge CB2 3NH, UK)
Stephen Walker (Microsoft Research Ltd, St George House, 1 Guildhall Street Cambridge CB2 3NH, UK)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 1 June 2000

Abstract

A major problem in using current best‐match methods in a filtering task is that of setting appropriate thresholds, which are required in order to force a binary decision on notifying a user of a document. We discuss methods for setting such thresholds and adapting them as a result of feedback information on the performance of the profile. These methods fit within the probabilistic approach to retrieval, and are applied to a probabilistic system. Some experiments, within the framework of the TREC‐7 adaptive filtering track, are described.

Keywords

Citation

Robertson, S. and Walker, S. (2000), "Threshold setting in adaptive filtering", Journal of Documentation, Vol. 56 No. 3, pp. 312-331. https://doi.org/10.1108/EUM0000000007118

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited