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.