SIGIR'98 papers: Learning While Filtering Documents
Learning While Filtering Documents
Jamie Callan
Center for Intelligent Information Retrieval,
Computer Science Department,
University of Massachusetts,
Amherst, MA 01003-4610, USA
Abstract
This paper examines the problems of learning queries and dissemination
thresholds from relevance feedback in a dynamic information filtering
environment. It revisits the EG algorithm for learning queries,
identifying several problems in using it reliably for information
filtering, and providing solutions. It also presents a new algorithm
for learning dissemination thresholds automatically, from the same
relevance feedback information used to learn queries.
SIGIR'98
24-28 August 1998
Melbourne, Australia.
sigir98@cs.mu.oz.au.