TY  - THES
U1  - Dissertation / Habilitation
A1  - Müller, Martin Eric
T1  - Inducing conceptual user models
N2  - User Modeling and Machine Learning for User Modeling have both become important research topics and key techniques in recent adaptive systems. One of the most intriguing problems in the `information age´ is how to filter relevant information from the huge amount of available data. This problem is tackled by using models of the user´s interest in order to increase precision and discriminate interesting information from un-interesting data. However, any user modeling approach suffers from several major drawbacks: User models built by the system need to be inspectable and understandable by the user himself. Secondly, users in general are not willing to give feedback concerning user satisfaction by the delivered results.
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:700-2002042911
CY  - Osnabrück
ER  -