Intelligent preloading of websites resources based on clustering web user sessions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900886" target="_blank" >RIV/00216275:25530/15:39900886 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICITCS.2015.7292988" target="_blank" >http://dx.doi.org/10.1109/ICITCS.2015.7292988</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICITCS.2015.7292988" target="_blank" >10.1109/ICITCS.2015.7292988</a>

Result language
angličtina
Original language name
Intelligent preloading of websites resources based on clustering web user sessions
Original language description
This paper presents a new approach to accelerate website loading. Today's web users are impatient and therefore it is necessary to render each web page as soon as possible. However, the ever increasing average size of web pages and insufficient transmission speed of some networks do not reach the desired rendering time. In this work we proposed a solution for intelligent preloading of website resources based on a combination of the Markov model, a utility function, and a data mining technique which is based on clustering of users. Clustering is performed according to the behavior patterns of each user.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 International Conference on IT Convergence and Security, ICITCS 2015
ISBN
978-1-4673-6537-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Kuala Lumpur
Event date
Aug 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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