Learning Routing Queries in a Query Zone Amit Singhalt~ Mandar Mitra$, Chris Buckleytt $Department of Computer .att .com tA T&T Labs Resemch; singhal&esearch Science, Cornell University; mitra@cs.cornell.edu ttsabir Research, IncO; ~hrisb@sabir.com Abstract Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit th~ property of word usage to improve document routing. We show that routing queries (profiles) learned only from the documents in a query domain are better than the routing profiles learned when query domains are not used. We approximate a query domain by a guerg zone. Experiments show that routing profiles learned from a query zone are 8 12~0 more effective than the profiles generated when no query zoning is used. 1 Background Document routing is an important problem in the field of information retrieval. [12] When a user has marked several articles as relevant to his/her information need, a system should be able to automatically learn the user s profile and should be able to route (send) new, potentially interesting, articles to the user. This problem has also been called as selective dissemination oj information or information fiJtering. [4] Most current state
End of preview. The entire article is 8 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/learning-routing-queries-in-a-query-zone-w49NEWGKyU
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
Learning routing queries in a query zone
Singhal, Amit; Mitra, Mandar; Buckley, Chris
Follow ACM SIGIR Forum
, Volume 31 (SI)
Association for Computing Machinery – Dec 2, 1997
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
