Automatic personalization based on Web usage mining
Communications of the ACM
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
An Architecture Proposal for Adaptive Neuropsychological Assessment
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Data mining for web personalization
The adaptive web
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As the web is expanding and the underlying technologies are evolving, so does the way in which users interact with the web applications. It is becoming increasingly clear that web applications must be adapted to the specific characteristics of each user, resulting in what is known as Adaptive Web Applications. An obvious fact is that there is no a single user model. Actually, there are many factors, some quantifiable, which define how a user interacts with a particular web application, allowing the determination of the user profile and setting the associated default values of each adaptive variables. This paper presents a prototype tool whose core consists of an adaptive method based on similarity between (mined) event-based sequences. The application domain belongs to the area of cognitive neuroscience. In particular, the tool has been designed as a platform for the specification of adaptive cognitive tasks, created to assess and stimulate different aspects of cognition in patients with neurological damage.