Computational intelligence-based personalization of interactive web systems

dc.creatorRambharose, Tricia
dc.creatorNikov, Alexander
dc.date.accessioned2011-06-14T12:03:13Z
dc.date.accessioned2019-08-05T17:48:49Z
dc.date.available2011-06-14T12:03:13Z
dc.date.available2019-08-05T17:48:49Z
dc.date.created2011-06-14T12:03:13Z
dc.date.issued2011-06-14
dc.identifierhttp://hdl.handle.net/2139/10113
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3007017
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.
dc.languageen
dc.subjectPersonalization
dc.subjectComputational Intelligence
dc.subjecttaxonomy
dc.subjectweb systems
dc.subjectmodelling
dc.titleComputational intelligence-based personalization of interactive web systems
dc.typeArticle


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