Computational intelligence-based personalization of interactive web systems
Date
2011-06-14
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Abstract
The main Computational Intelligence (CI) models for personalization of interactive web systems are
identified as Fuzzy Systems, Genetic Algorithms, Neural Networks, Artificial Immune Systems and Swarm
Intelligence which includes Particle Swarm Optimization, Ant Colony Optimization, Bee Colony Optimization
and Wasp Colony Optimization. These models are reviewed and compared regarding their inception, functions,
performance and application to personalization of interactive web systems. A taxonomy for personalization of
interactive web systems based on CI methods is proposed. It uses two approaches to personalize web-based
systems as profile generation and profile exploitation. Based on this taxonomy a general procedure and
recommendations for personalization of interactive web systems are suggested. Future directions for
application of CI modelling for personalization are discussed.
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Keywords
Personalization, Computational Intelligence, taxonomy, web systems, modelling