Personalized Cultural Heritage Recommendation System For Cognitive Exploration Levels
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This 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.
Description
@inproceedings{10.2312:dh.20253271,
booktitle = {Digital Heritage},
editor = {Campana, Stefano and Ferdani, Daniele and Graf, Holger and Guidi, Gabriele and Hegarty, Zackary and Pescarin, Sofia and Remondino, Fabio},
title = {{Personalized Cultural Heritage Recommendation System For Cognitive Exploration Levels}},
author = {Seol, Songie and Lee, Yeeun and Byun, Hyebin and Lee, Jongwook},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-277-6},
DOI = {10.2312/dh.20253271}
}