CONCEPToHW A Concept-learning Information Retrieval System - Basic Ideas SoKoHoWOng a n d W o j c i e c h Z i a r k o Computer Science Department University of Regina Regina~ Saskatchewan $ 4 S @A2 CANADA EXTENDED ABSTRACT When a u s e r a p p r o a c h e s an information retrieval system he { o r she) usually knows what kind of information he (she) is looking for In other words, the user has a certain ~concept ~ in mind a b o u t w h i c h he { s h e ) w o u l d l i k e to obtain more information,~ The presence of the concept reflects itself in the user's ability to distinguish relevant documents from nonrelevant ones after reviewing their contents However~ the fundamental problem in IR is to distinguish automatically the relevant documents from nonrelevant without reviewing their contents, for example~ based on a kind of s i m i l a r i t y f u n c t i o n as it is c o m m o n in e x i
End of preview. The entire article is 2 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/a-concept-learning-information-retrieval-system-basic-ideas-V0lyYG0G6C
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
A concept-learning information retrieval system-basic ideas
Wong, S K; Ziarko, Wojciech
Follow ACM SIGIR Forum
, Volume 20 (1-4)
Association for Computing Machinery – May 1, 1986
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
