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Rule-based User Characteristics Acquisition from Logs with Semantics for Personalized Web-Based Systems

In: Computing and Informatics, vol. 28, no. 4
M. Bieliková - M. Barla - M. Tvarožek

Details:

Year, pages: 2009, 399 - 427
Keywords:
User modeling, ontologies, log analysis, usage pattern, adaptive faceted browser
About article:
Personalization of web-based information systems based on specialized user models has become more important in order to preserve the effectiveness of their use as the amount of available content increases. We describe a user modeling approach based on automated acquisition of user behaviour and its successive rule-based evaluation and transformation into an ontological user model. We stress reusability and flexibility by introducing a novel approach to logging, which preserves the semantics of logged events. The successive analysis is driven by specialized rules, which map usage patterns to knowledge about users, stored in an ontology-based user model. We evaluate our approach via a case study using an enhanced faceted browser, which provides personalized navigation support and recommendation.
How to cite:
ISO 690:
Bieliková, M., Barla, M., Tvarožek, M. 2009. Rule-based User Characteristics Acquisition from Logs with Semantics for Personalized Web-Based Systems. In Computing and Informatics, vol. 28, no.4, pp. 399-427. 1335-9150.

APA:
Bieliková, M., Barla, M., Tvarožek, M. (2009). Rule-based User Characteristics Acquisition from Logs with Semantics for Personalized Web-Based Systems. Computing and Informatics, 28(4), 399-427. 1335-9150.