Clustering Data using a Nonnegative Matrix Factorization (NMF)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86077405" target="_blank" >RIV/61989100:27240/09:86077405 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Clustering Data using a Nonnegative Matrix Factorization (NMF)
Original language description
There are many search engines in the web and when asked, they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identifytheir required results. In this paper we present how usage of Nonnegative Matrix Factorization (NMF) can be good solution for the search results clustering.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SECOND INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT 2009)
ISBN
978-1-4244-4456-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Place of publication
NEW YORK
Event location
Anglie
Event date
Aug 4, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288359000126