Context learning in Okapi

dc.citation.epage	83	en_US
dc.citation.issueNumber	1	en_US
dc.citation.spage	80	en_US
dc.citation.volumeNumber	53	en_US
dc.contributor.author	Göker, A.	en_US
dc.date.accessioned	2016-02-08T10:49:00Z
dc.date.available	2016-02-08T10:49:00Z
dc.date.issued	1997	en_US
dc.department	Department of International Relations	en_US
dc.description.abstract	A user who makes repeated use of a retrieval system may be assumed to have a context which is common to successive uses (even if the immediate need differs). An IR system which could make use of this context may be better able to match the specific need. A machine-learning approach to inferring the user's context is described, and the results of an evaluation experiment are given. There appears to be scope for IR systems to operate in this way.	en_US
dc.description.provenance	Made available in DSpace on 2016-02-08T10:49:00Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1997	en
dc.identifier.doi	10.1108/EUM0000000007194	en_US
dc.identifier.eissn	1758-7379
dc.identifier.issn	0022-0418
dc.identifier.uri	http://hdl.handle.net/11693/25682
dc.language.iso	English	en_US
dc.relation.isversionof	https://doi.org/10.1108/EUM0000000007194	en_US
dc.source.title	Journal of Documentation	en_US
dc.subject	Information retrieval	en_US
dc.subject	Document management	en_US
dc.subject	Data processing	en_US
dc.title	Context learning in Okapi	en_US
dc.type	Article	en_US

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