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Journal articles

Semantic User Profiling for Digital Advertising

Anett Hoppe 1 Ana Roxin 1 Christophe Nicolle 1
1 CheckSem Research Group
Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
Abstract : 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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Submitted on : Monday, September 21, 2015 - 4:33:34 PM
Last modification on : Tuesday, October 19, 2021 - 11:46:41 AM


  • HAL Id : hal-01202762, version 1


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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