Solution for search result clustering by Using Singular Value Decomposition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021087" target="_blank" >RIV/61989100:27240/08:00021087 - 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
Solution for search result clustering by Using Singular Value Decomposition
Original language description
There are many search engines in the web, but 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 identify their required results. In this paper we present how usage of Singular Value Decomposition (SVD) as a very good solution for 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
<a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING
ISBN
978-0-7695-3489-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Phuket, THAILAND
Event date
Dec 20, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000263135200125