TY - JOUR AB - 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. VL - 56 IS - 3 SN - 0022-0418 DO - 10.1108/EUM0000000007118 UR - https://doi.org/10.1108/EUM0000000007118 AU - Robertson Stephen AU - Walker Stephen PY - 2000 Y1 - 2000/01/01 TI - Threshold setting in adaptive filtering T2 - Journal of Documentation PB - MCB UP Ltd SP - 312 EP - 331 Y2 - 2024/03/28 ER -