Computational intelligence-based personalization of interactive web systems

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dc.contributor.author Rambharose, Tricia
dc.contributor.author Nikov, Alexander
dc.date.accessioned 2011-06-14T12:03:13Z
dc.date.available 2011-06-14T12:03:13Z
dc.date.issued 2011-06-14
dc.identifier.uri http://hdl.handle.net/2139/10113
dc.description.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. en_US
dc.language.iso en en_US
dc.subject Personalization en_US
dc.subject Computational Intelligence en_US
dc.subject taxonomy en_US
dc.subject web systems en_US
dc.subject modelling en_US
dc.title Computational intelligence-based personalization of interactive web systems en_US
dc.type Article en_US


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