Interactive User Profiling in Semantically Annotated Museum Collections

We propose an interactive semantic-based approach for eliciting user interests in art. This gradually builds user profiles from which the system recommends museum artworks related topics. This paper presents a case study with the Rijksmuseum Amsterdam’s collection, enriched with semantic web metadata. We outline a set of functional requirements and interaction concepts for the realization of the user modeling dialog, as well as for the generation and presentation of recommendations. Finally, we exemplify them in a web-based demonstrator.