Towards a DL-Based semantic user model for web personalization

Abstract : User models play a kernel role in recommender and web personalization systems, especially in an information-rich world. In a knowledge-based user interface environment, a semantic user modeling component serves as important inputs for personalization human-computer interactions and adaptive strategies for interfaces. This paper proposes a semantic user model integrated into a web personalization system which that is based on an expressive description logic language. The user model employs both static and dynamic user information to predict user features relevant to a given application domain. The logic-based user-modeling framework acts as a support for a semantic Web personalization system to tailor information services to the user. Our user-modeling approach is exemplarily applied to the tourism domain, to describe user information and identify user's classification.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00254955
Contributor : Evelyne Faivre <>
Submitted on : Wednesday, February 13, 2008 - 3:39:45 PM
Last modification on : Thursday, March 29, 2018 - 11:06:03 AM

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  • HAL Id : hal-00254955, version 1

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Yanwu Yang, Marie-Aude Aufaure, Christophe Claramunt. Towards a DL-Based semantic user model for web personalization. KUI 2007/ICAS 2007, Jun 2007, Athènes, Greece. pp.61. ⟨hal-00254955⟩

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