Learning Comprehensible Conceptual User Models for User Adaptive Meta Web Search

Martin E. Müller

In course of the OySTER project our goal is to induce conceptual user models that allow for a transparent query refinement and information filtering in the domain of WWW meta-search. User models which describe a user’s interest with respect to an underlying ontology allow for a manual user model editing process and also pose a well defined problem for a conceptual inductive learning task.

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