The next generation of personalization systems

Uchyigit, Gulden (2008) The next generation of personalization systems In: Moulas, C. and Germanakos, P., eds. Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies. Idea Group Publishing, pp. 72-93. ISBN 1605660329

Full text not available from this repository.


Coping with today’s unprecedented information overload problem necessitates the deployment of personalization services. Typical personalization approaches model user preferences and store them in user profiles, used to deliver personalized content. A traditional method for profile representation is the so called keyword-based representation, where the user interests are modelled using keywords which are selected from the contents of the items which the user has rated. Although, keyword based approaches are simple and are extensively used for profile representation they fail to represent semantic-based information, this information is lost during the pre-processing phase. Future trends in personalization systems necessitate more innovative personalization techniques that are able to capture rich semanticbased information during the representation, modelling and learning phases. In recent years ontologies (key concepts and along with their interrelationships) to express semantic-based information have been very popular in domain knowledge representation. The primary goal of this chapter is to present an overview of the state-of-the art techniques and methodologies which aim to integrate personalization technologies with semantic-based information.

Item Type: Chapter in book
Uncontrolled Keywords: End User Computing / Social Technologies
Subjects: G000 Computing and Mathematical Sciences > G400 Computing
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Computational Intelligence
Depositing User: editor cmis
Date Deposited: 15 Jul 2011 09:48
Last Modified: 27 Apr 2015 15:44

Actions (login required)

View Item View Item


Downloads per month over past year