Recommendations Based on Semantically Enriched Museum Collections
8 Pages Posted: 10 Jul 2018 Publication Status: Accepted
This article presents the CHIP demonstrator for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, and Mobile Tour Guide. Based on the semantically enriched Rijksmuseum Amsterdam collection, we show how Semantic Web technologies can be deployed to (partially) solve three important challenges for recommender systems applied in an open Web context:
(1) to deal with the complexity of various types of relationships for recommendation inferencing, where we take a content-based approach to recommend both artworks and art-history topics;
(3) to support the presentation of recommendations by combining different views like a historical timeline, museum map and faceted browser.
Following a user-centered design cycle, we have performed two evaluations with users to test the effectiveness of the recommendation strategy and to compare the different ways for building an optimal user profile for efficient recommendations. The CHIP demonstrator received the Semantic Web Challenge Award (third prize) in 2007, Busan, Korea.
Keywords: CHIP, Semantics-driven recommendations, Content-based recommendations, Enriched collections, Cultural heritage vocabularies, Interactive user modeling dialog, Museum tours, Mobile museum guide
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