Challenges in Implementing a Recommender System for Historical Research in the Humanities
Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Christoph, Trattner, Georg Vogeler, Dominik Kowald

TL;DR
This paper discusses the unique challenges of developing recommender systems for historical legal documents in the humanities, emphasizing item characteristics, stakeholder complexity, and scholar behavior to improve digital humanities research tools.
Contribution
It highlights specific challenges in implementing recommender systems for humanities archives, focusing on item uniqueness, multi-stakeholder environments, and user behavior.
Findings
Charters have unique characteristics affecting recommendations.
Multi-stakeholder environments complicate system design.
Scholars exhibit distinct information-seeking behaviors.
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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Taxonomy
TopicsTopic Modeling · Recommender Systems and Techniques · Machine Learning in Healthcare
