User Segmentation Based on Finding Communities with Similar Behavior on the Web Site

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077713" target="_blank" >RIV/61989100:27240/10:86077713 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/WI-IAT.2010.288" target="_blank" >http://dx.doi.org/10.1109/WI-IAT.2010.288</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WI-IAT.2010.288" target="_blank" >10.1109/WI-IAT.2010.288</a>

Jazyk výsledku

angličtina

Název v původním jazyce

User Segmentation Based on Finding Communities with Similar Behavior on the Web Site

Popis výsledku v původním jazyce

Web log analysis can be helpful in gaining information about the usability of the web site, web performance, for marketing purposes, or for development of business intelligence tools in e-commerce systems. User segmentation is one of the problems solvedin marketing and e-commerce sphere. Various software was developed to support web analysis. However, most of them provide only information through the tools based on statistics. In this paper there is presented the automatic user segmentation (clustering) based on the similar user's behavior on the web site. The user's behavior and behavioral patterns are extracted using process mining techniques; further user segmentation is provided by finding communities with similar behavior through two-step hierarchical clustering.

Název v anglickém jazyce

User Segmentation Based on Finding Communities with Similar Behavior on the Web Site

Popis výsledku anglicky

Web log analysis can be helpful in gaining information about the usability of the web site, web performance, for marketing purposes, or for development of business intelligence tools in e-commerce systems. User segmentation is one of the problems solvedin marketing and e-commerce sphere. Various software was developed to support web analysis. However, most of them provide only information through the tools based on statistics. In this paper there is presented the automatic user segmentation (clustering) based on the similar user's behavior on the web site. The user's behavior and behavioral patterns are extracted using process mining techniques; further user segmentation is provided by finding communities with similar behavior through two-step hierarchical clustering.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

ISBN

978-1-4244-8482-9

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

75-78

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos, California

Místo konání akce

Toronto, Canada

Datum konání akce

31. 8. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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