Personalized Cultural Heritage Recommendation System For Cognitive Exploration Levels

dc.contributor.authorSeol, Songieen_US
dc.contributor.authorLee, Yeeunen_US
dc.contributor.authorByun, Hyebinen_US
dc.contributor.authorLee, Jongwooken_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T21:49:59Z
dc.date.available2025-09-05T21:49:59Z
dc.date.issued2025
dc.description.abstractThis study addresses the limitations of current digital cultural heritage platforms, which rely heavily on keyword searches and static categorization. These conventional approaches restrict users' ability to engage in exploratory and personalized experiences. To address this issue, we propose a recommendation system that provides two adaptive exploration paths-facet-based and semantic-linked-customized to align with users' cognitive levels. The system analyzes real-time behavioral data to generate personalized artifact recommendations, which are then presented through an individualized visual report called My Taste Report, built upon knowledge graph structures. Utilizing 195,441 artifact records from the National Museum of Korea, the system employs Transformer-based semantic similarity algorithms in combination with cultural heritage-specific named entity recognition (NER) techniques. Importantly, the system is designed for modular integration, allowing it to enhance existing cultural heritage portals without requiring a structural overhaul.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253271
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253271
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253271
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titlePersonalized Cultural Heritage Recommendation System For Cognitive Exploration Levelsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
dh20253271.pdf
Size:
1.18 MB
Format:
Adobe Portable Document Format