Titlebook: Intelligent Techniques for Web Personalization; IJCAI 2003 Workshop, Bamshad Mobasher,Sarabjot Singh Anand Conference proceedings 2005 Spri

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Predicting Web Information Contentthe actions the user has applied to these pages. This inference is based on a parameterized model of how the sequence of actions chosen by the user indicates the degree to which page content satisfies the user’s information need. We show that the model parameters can be estimated using standard meth

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Mobile Portal Personalization: Tools and Techniquested as a major contributing factor to the poor take-up of mobile Internet services amongst consumers. A key problem relates to the amount of time that users spend navigating to content as they browse mobile portals. Recent advances in personalization technology have the potential to solve this probl

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Intelligent Techniques for Web Personalizatione systems. A number of challenges faced by researchers developing these systems are described as are solutions to these challenges proposed in literature. The chapter concludes with a discussion on the open challenges that must be addressed by the research community if this technology is to make a positive impact on user satisfaction with the Web.

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