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Article . 2009
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О сборе пользовательских данных в системе персонализации интернет-магазина

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2009 Russian Publisher:Государственное образовательное учреждение высшего профессионального образования «Московский государственный университет леса»Journal:Лесной вестник / Forestry bulletin (issn: 1727-3749, Copyright policy )

О сборе пользовательских данных в системе персонализации интернет-магазина

Abstract

Царев А.Г. О СБОРЕ ПОЛЬЗОВАТЕЛЬСКИХ ДАН ЫХ В СИСТЕМЕ ПЕР СОНА ЛИЗАЦИИ ИН ТЕРНЕ Т-МАГАЗИНА. Рассматриваются вопросы сбора пользовательских данных и их решения в контексте применения в системе персонализации сайта, а также описывается модуль сбора пользовательских данных, интегрированный в систему персонализации Интернет-магазина.Tsarev A.G. ABOUT GATHERING USERS DATA IN THE SYSTEM OF ONLINE SHOP PERSONIFICATION. Questions of gathering of the user data and their decisions to a context of their application in system of web-site personification are considered, and also the module of the gathering user data integrated into system of personification the online shop is described.

Keywords

ПОЛЬЗОВАТЕЛЬСКИЕ ДАННЫЕ, ПЕРСОНАЛИЗАЦИЯ САЙТА, МОДУЛЬ СБОРА, ИНТЕРНЕТ-МАГАЗИН

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average