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20242026
most citedImpacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study

4 citations · 15 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.IR2025★ 1 cited

A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives

Florian Atzenhofer-Baumgartner, Georg Vogeler, Dominik Kowald

This paper presents the first multistakeholder approach for translating diverse stakeholder values into an evaluation metric setup for Recommender Systems (RecSys) in digital archi…

cs.IR2025★ 4 cited

Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study

Robin Ungruh, Alejandro Bellogín, Dominik Kowald +1

Children are often exposed to items curated by recommendation algorithms. Yet, research seldom considers children as a user group, and when it does, it is anchored on datasets wher…

cs.IR2025★ 1 cited

Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain

Dominik Kowald

Recommender systems have become an integral part of our daily online experience by analyzing past user behavior to suggest relevant content in entertainment domains such as music,…

cs.IR2025★ 3 cited

De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems

Robin Burke, Gediminas Adomavicius, Toine Bogers +7

Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…

cs.IR2024★ 2 cited

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

Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Christoph Trattner +2

This extended abstract describes the challenges in implementing recommender systems for digital archives in the humanities, focusing on Monasterium.net, a platform for historical l…

cs.IR2024★ 4 cited

Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net

Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Georg Vogeler +1

Recommender systems remain underutilized in humanities and historical research, despite their potential to enhance the discovery of cultural records. This paper offers an initial v…