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@inproceedings{DBLP:conf/sigir/Callan96,
author = {James P. Callan},
title = {Document Filtering With Inference Networks},
booktitle = {SIGIR},
year = {1996},
pages = {262-269},
ee = {db/conf/sigir/Callan96.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Although statistical retrieval models are now accepted widely, there has been little research on how to adapt them to the demands of high speed documeut filtering. The problems of document retrieval and document filtering are similar at an abstract level, but the architectures required, the optirnizations that are possible, and the quality of the information available, are all different.
This paper describes a new statistical document filtering system called InRoute, the problems of fitering effectiveness and efficiency that arise with such a system, and experiments with various solutions.
Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.