Scoring Pageview Based on Learning Weight Function
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00171282" target="_blank" >RIV/68407700:21230/10:00171282 - 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
Scoring Pageview Based on Learning Weight Function
Original language description
Pageview score is relevant indicator of significance for visitors. The work presented here proposes computing score based on weight function. Final form of function is evolved using symbolic regression. As source data and training set we use semanticallyenriched clickstream, which has more detailed information about each pageview. Weight function is designed to consider all available information about previous visits. The usability of this approach is demonstrated on basic experiments and we outlined further work to improve results.
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
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal on Information Technologies and Security
ISSN
1313-8251
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
4
Country of publishing house
BG - BULGARIA
Number of pages
10
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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