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Article Dans Une Revue Journal of ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH Année : 2015

Semantic User Profiling for Digital Advertising

Anett Hoppe
Ana Roxin
Christophe Nicolle

Résumé

With the emergence of real-time distribution of online advertising space (“real-time bidding”), user profiling from web navigation traces becomes crucial. Indeed, it allows online advertisers to target customers without interfering with their activities. Current techniques apply traditional methods as statistics and machine learning, but suffer from their limitations. As an answer, the proposed approach aims to develop and evaluate a semantic-based user profiling system for digital advertising.
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Dates et versions

hal-01202762 , version 1 (21-09-2015)

Identifiants

  • HAL Id : hal-01202762 , version 1

Citer

Anett Hoppe, Ana Roxin, Christophe Nicolle. Semantic User Profiling for Digital Advertising. Journal of ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2015, 49 (3/2015), pp.267-286. ⟨hal-01202762⟩
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