Recommendations based on semantically enriched museum collections

This article presents the CHIP demonstrator5 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 Amsterdam6 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; (2) to cope with the typical user modeling problems, such as cold-start for first-time users, sparsity in terms of user ratings, and the efficiency of user feedback collection; and (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 ...

• Type: Journal
• Year: 2008
• Where: WS
• Authors: Yiwen Wang, Natalia Stash, Lora Aroyo, Peter Gorgels, Lloyd Rutledge, Guus Schreiber
• Keywords: Computer Networks, Digital Museum Collections, Rijksmuseum Amsterdam6 Collection, User, WS 2008