In this paper we present an approach for personalized access to museum collections. We use a RDF/OWL specification of the Rijksmuseum Amsterdam collections as a driver for an interactive dialog. The user gives his/her judgment on the artefacts, indicating likes or dislikes. The elicited user model is further used for generating recommendations of artefacts and topics. In this way we support exploration and discovery of information in museum collections. A user study provided insights in characteristics of our target user group, and showed how novice and expert users employ their background knowledge and implicit interest in order to elicit their art preference in the museum collections.
|Name||Lecture Notes in Computer Science|
|Conference||conference; UM 2007, Corfu, Greece; 2007-06-25; 2007-06-29|
|Period||25/06/07 → 29/06/07|
|Other||UM 2007, Corfu, Greece|