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Adaptive User Profiles

Adaptive User Profiles
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Author(s): Steve Cayzer (Hewlett-Packard Laboratories, UK)and Elke Michlmayr (Vienna University of Technology, Austria)
Copyright: 2009
Pages: 23
Source title: Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling
Source Author(s)/Editor(s): Max Chevalier (University of Toulouse, IRIT (UMR 5505), France), Christine Julien (University of Toulouse, IRIT (UMR 5505), France)and Chantal Soule-Dupuy (University of Toulouse, IRIT (UMR 5505), France)
DOI: 10.4018/978-1-60566-306-7.ch004

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Abstract

A major opportunity for collaborative knowledge management is the construction of user models which can be exploited to provide relevant, personalized, and context-sensitive information delivery. Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural connections to related models. In this chapter the authors show how it is possible to create adaptive user profiles without any explicit input at all. Rather, leveraging implicit behaviour on social information networks, the authors can create profiles that are both adaptive and socially connective. Such profiles can help provide personalized access to enterprise resources and help identify other people with related interests.

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