Computational intelligence-based personalization of interactive web systems

dc.contributor.authorRambharose, Tricia
dc.contributor.authorNikov, Alexander
dc.date.accessioned2011-06-14T12:03:13Z
dc.date.available2011-06-14T12:03:13Z
dc.date.issued2011-06-14
dc.description.abstractThe 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.identifier.urihttps://hdl.handle.net/2139/10113
dc.language.isoenen_US
dc.subjectPersonalizationen_US
dc.subjectComputational Intelligenceen_US
dc.subjecttaxonomyen_US
dc.subjectweb systemsen_US
dc.subjectmodellingen_US
dc.titleComputational intelligence-based personalization of interactive web systemsen_US
dc.typeArticleen_US
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