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Be Your Own Curator with CHIP

Be Your Own Curator with CHIP. Lora Aroyo. CHIP @ Rijksmuseum Amsterdam. CHIP - Cultural Heritage Information Personalization Eindhoven University of Technology Lora Aroyo, Paul De Bra, Natalia Stash, Yiwen Wang Telematica Instituut Rogier Brussee, Lloyd Rutledge Rijksmuseum Amsterdam

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Be Your Own Curator with CHIP

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  1. Be Your Own Curator with CHIP Lora Aroyo

  2. CHIP @ Rijksmuseum Amsterdam • CHIP - Cultural Heritage Information Personalization • Eindhoven University of Technology • Lora Aroyo, Paul De Bra, Natalia Stash, Yiwen Wang • Telematica Instituut • Rogier Brussee, Lloyd Rutledge • Rijksmuseum Amsterdam • Peter Gorgels, Cathy Jagers

  3. Museum Experience Cycle User Profile Web Museum

  4. Personalized Museum Experience Personalized Web Access Online Tour Wizard Personalized Mobile Tour • Interactive user • modeling • Recommendations of • artworks and art topics • Semantic Search • Museum tour maps • Historic timeline • Interactive tours • On-the-fly adaptation • Synchronized user • profile

  5. Semantically Enriched Data

  6. You Rate - We Recommend

  7. What is stored in User Profile? Personal – initialized from FOAFuser’s personal information (e.g. name, gender, email) Ratings user’s ratings of artworks/topics – her/his art preference Interactions user’s various interactions (e.g. created tours) Social – initialized from FOAFuser’s social information (e.g. people I know, group)

  8. User Profile

  9. Example: Emma’s Interests • Emma likes “Artwork: Night Watch” • Emma likes a lot “Creator: Rembrandt” • Emma likes a lot “Topic: Dutch landscape”

  10. Example: Emma’s Recommendations • 21 recommended topics (e.g. group, Baroque, light source, ect.) • 53 recommended artworks (e.g. the stone bridge, The Sampling Officials, etc.) Recommendations 53 21 ArtworksTopics

  11. Recommendations Explanations Why Baroque is recommended? Why Cow beside a ditch is recommended?

  12. Example: Refine Recommendations • Recommended but I dislike “Theme: Group” • Recommended but I dislike “Theme: Group portrait” • Recommended but I dislike “Artwork: Dead peacock”

  13. Example: Updated Recommendations • 15 recommended topics (before 21) (e.g. Impact of time, Baroque, light source, ect.) • 33 recommended artworks (before 53) (e.g. the stone bridge, river view near Deventer, etc.) Updated Recommendations 53 21 33 15 ArtworksTopics

  14. Create Your Own Museum Tours • Tour Wizard: Emma’s tours • Recommendations based on ratings • Updated recommendations • Filter unavailable artworks

  15. View Tours on Museum Map

  16. View Tours on Historical Timeline

  17. Search

  18. Export tours: Web → Museum Web Museum Exporttour data, user data

  19. PDA-based Mobile Tour + RFID Tag Mobile device RFID Reader

  20. Set Tour Constraints • Set number of artworks • Set tour time duration

  21. Navigation & Guidance

  22. Update User Profile: Museum → Web Web Museum Update user data, tour data

  23. Links • Online Demo: • http://www.chip-project.org/demo • CHIP Web-site: • http://www.chip-project.org • Lora Aroyo Web page: • http://www.cs.vu.nl/~laroyo

  24. Special issue on AI and Cultural Heritage http://www.computer.org/portal/pages/intelligent/content/CulHerCFP.html IEEE Intelligent Systems Deadline 15 August 2008 More Info l.m.aroyo@cs.vu.nl

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