“Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity”


Current digital archive interfaces often rely on search and browsing functionalities insufficient for complex research tasks. They fail to reveal latent connections between historical sources or support the serendipitous discovery that is vital to humanistic inquiry. The cultural heritage sector is characterized by numerous repositories and siloed digital archives, where aggregated exploration across collections is beneficial yet challenging to implement and maintain. . . .

This research addresses the central question: How can RecSys effectively support scholarly research and facilitate discoverable, understandable, and value-aware access to cultural heritage materials in digital archives? This question is thoroughly explored through three interconnected research areas that address major challenges that have been identified in prior work [9].

https://dl.acm.org/doi/10.1145/3705328.3748761

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |