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Modul pro doporučování obsahu webu podle chování návštěvníka

This thesis focuses on analyzing recommendation method and analyzing options on the discounting portal company Vykupto s.r.o. Finale implementation of module for content recommendation on website is based on the design which identify all problems in process of recommendation and minimized them. Goal is module which provides quality recommendation including separation computa-tion cost to off-line and on-line processing. Module is implemented to integration to company system and his goal is increase probability of finishing transaction of customer. In the end is method verified on historical data and A/B testing.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:179073
Date January 2014
CreatorsŠvihel, Lukáš
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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