Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
Improving collaborative recommender systems by means of user profiles
Designing personalized user experiences in eCommerce
Enhancing the adaptivity of an existing website with an epiphyte recommender system
Hypermedia - Special issue: Adaptive hypermedia in the age of the adaptive web
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
Personalization in an interactive learning environment through a virtual character
Computers & Education
eDAADe: an adaptive recommendation system for comparison and analysis of architectural precedents
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. Systems should be capable of adapting their behavior to the user's characteristics, such as goals, tasks, interests, which are stored in user profiles. Filtering techniques are used to analyse profile data and provide recommendation to the users to help them navigating in the site and retrieving information of interest. We describe here the approach we have adopted in FAIRWIS (Trade FAIR Web-based Information Services), a system that offers on-line innovative services to support the management of real trade fairs as well as Web-based virtual fairs. The approach is based on the integration of data the system collects about users, both explicitly and implicitly, and a classical collaborative filtering technique in order to provide appropriate recommendations to the user in any circumstances during the visit of the on-line fair catalogue.