Personalization of Web-Based Systems based on Computational Intelligence Modeling

摘要

The main computational intelligence methods (CI) for personalization of web-based systems are identified and critical reviewed: 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. Each method is discussed regarding its application to personalization of web-based systems. A taxonomy for personalization of web systems based on CI methods is proposed. It identifies two main approaches to personalize web-based systems as profile generation and profile exploitation which are further classified as either personalized navigation or personalized content. Future directions for application of CI modeling for personalization are discussed.