Challenges in Implementing a Recommender System for Historical Research in the Humanities

2024/10/28 by Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Atzenhofer-Baumgartner, Florian +7
Computer Science · #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2410.20909

openalex publication_date 2024/10/28 · openalex created_date 2024/11/14 · openalex updated_date 2026/07/28

Abstract

This extended abstract describes the challenges in implementing recommender systems for digital archives in the humanities, focusing on Monasterium.net, a platform for historical legal documents. We discuss three key aspects: (i) the unique characteristics of so-called charters as items for recommendation, (ii) the complex multi-stakeholder environment, and (iii) the distinct information-seeking behavior of scholars in the humanities. By examining these factors, we aim to contribute to the development of more effective and tailored recommender systems for (digital) humanities research.

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