Skip to Main content Skip to Navigation
Conference papers

DYNAMIC SEMANTIC USER PROFILING FROM IMPLICIT WEB NAVIGATION DATA

Abstract : On the Web, pages are often dynamically generated and allow publishers to individually adapt contents to each viewer. Underlying systems must correctly understand the user's context - crucial especially in the case of online advertisement placement. The article at hand describes our proposition of a novel profiling system, adapted to the special needs of digital advertising. Based on Semantic Web Technologies, the MindMinings system relies on an ontology to enable thorough understanding of each user's context and needs. The underlying ontology structure also provides enhanced interoperability with semantically annotated knowledge resources, notably vocabularies from the Linked Open Data cloud. All components in the context of this project have been defined in close collaboration with an industrial partner from the digital advertising domain. Therefore, developments made for the system have been verified to be adapted to an application in an industrial context. In this article, we describe system's architecture, issues encountered during its development and envisaged solutions.
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-00978436
Contributor : Ana Roxin Connect in order to contact the contributor
Submitted on : Monday, April 14, 2014 - 11:08:19 AM
Last modification on : Tuesday, October 19, 2021 - 11:46:41 AM

Identifiers

  • HAL Id : hal-00978436, version 1

Citation

Anett Hoppe, Ana Roxin, Christophe Nicolle. DYNAMIC SEMANTIC USER PROFILING FROM IMPLICIT WEB NAVIGATION DATA. 13th International Conference on Informatics in Economy, May 2014, Bucarest, Romania. pp.ISSN: 2247 - 1480. ⟨hal-00978436⟩

Share

Metrics

Les métriques sont temporairement indisponibles