Learning Comprehensible Conceptual User Models for User Adaptive Meta Web Search
Martin E. Mfiller · 2000
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 do-main of Www meta-seareh. User models which de-scribe a user’s interest with respect to an underly-ing ontology allow for a manual user model editing process and also pose a well defined problem for a conceptual inductive learning task. OYSTER is a re-search prototype that is currently being developed at the university of Osnabriick. Contents. In the first section we will motivate the use of conceptual user models and according learning techniques. We then describe the user model repre-sentation formalism that is used within the OYSTER1