A novel approach for comparing web sites by using MicroGenres
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093034" target="_blank" >RIV/61989100:27240/14:86093034 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.engappai.2014.06.011" target="_blank" >http://dx.doi.org/10.1016/j.engappai.2014.06.011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.engappai.2014.06.011" target="_blank" >10.1016/j.engappai.2014.06.011</a>
Alternative languages
Result language
angličtina
Original language name
A novel approach for comparing web sites by using MicroGenres
Original language description
In this paper, a novel approach is introduced to compare web sites by analysing their web page content Each web page can be expressed as a set of entities called MicroGenres, which in turn are abstractions about design patterns and genres for representing the page content This description is useful for web page and web site classification and for a deeper insight into the web site's social context. The web site comparison is useful for extracting patterns which can be used for improving Web search engine effectiveness, the identification of best practices in web site design and of course in the organization of web page content to personalize the web user experience on a web site. The effectiveness of the proposed approach was tested in a real world case, with e-shop web sites showing that a web site can be represented in a high level of abstraction by using MicroGenres, the contents of which can then be compared and given a measure corresponding to web site similarity. This measure is
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
ISSN
0952-1976
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
Neuveden
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
187-198
UT code for WoS article
000341553200016
EID of the result in the Scopus database
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