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Automatic User Profile Mapping To Marketing Segments In A Big Data Context

Abstract : Within the discussion about the analysis methods for Big Data contexts, semantic technologies often get discarded for reasons of efficiency. While machine learning and statistics are known to have shortcomings when handling natural language, their advantages in terms of performance outweigh potential concerns. We argue that even when handling vast amounts of data, the usage of semantic technologies can be profitable and demonstrate this by developing an ontology-based system for automatically mapping user profiles to pre-defined marketing segments.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01165211
Contributor : Anett Hoppe Connect in order to contact the contributor
Submitted on : Thursday, June 18, 2015 - 3:55:32 PM
Last modification on : Tuesday, October 19, 2021 - 11:45:41 AM

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  • HAL Id : hal-01165211, version 1

Citation

Anett Hoppe, Ana Roxin, Christophe Nicolle. Automatic User Profile Mapping To Marketing Segments In A Big Data Context. 14th International Conference on Informatics in Economy, Apr 2015, Bucharest, Romania. ⟨hal-01165211⟩

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