Refereed full papers (journals, book chapters, international conferences)

1996

@inproceedings{All1996,
	vgclass =	{refpap},
	author =	{James Allan},
	title =	{Incremental Relevance Feedback for Information Filtering},
	editor =	{Frei, H.-P. and D. Harman and P. Sch\"{a}uble and R. Wilkinson},
	booktitle =	{Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'96)},
	address =	{Z\"{u}rich, Switzerland},
	pages =	{270--278},
	month =	{August},
	year =	{1996},
	url =	{http://cobar.cs.umass.edu/pubfiles/james-sigir96.ps.gz},
	abstract =	{We use data from the TREC routing experiments to explore
	how relevance feedback can be applied incrementally -- using a few
	judged documents each time -- to achieve results that are as good as if
	the feedback occurred in one pass. We show that relatively few
	judgments are needed to get high-quality results. We also demonstrate
	methods that reduce the amount of information archived from past judged
	documents without adversely affecting effectiveness. A novel simulation
	shows that such techniques are useful for handling long�standing
	queries with drifting notions of relevance.},
}