16 citations · 33 across the 6 of their papers we have counts for
7 papers
When More Metadata Misleads: Probing Field-Level Grounding in LLM-Generated Museum Descriptions
Clemencia Siro, Laura Hollink
Metadata-conditioned generation is often framed as a data-to-text task in which additional input fields should improve grounding. Museum description generation challenges this assu…
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Sanne Vrijenhoek, Savvina Daniil, Jorden Sandel +1
Diversity is a commonly known principle in the design of recommender systems, but also ambiguous in its conceptualization. Through semi-structured interviews we explore how practit…
How Contentious Terms About People and Cultures are Used in Linked Open Data
Andrei Nesterov, Laura Hollink, Jacco van Ossenbruggen
Web resources in linked open data (LOD) are comprehensible to humans through literal textual values attached to them, such as labels, notes, or comments. Word choices in literals m…
Hidden Author Bias in Book Recommendation
Savvina Daniil, Mirjam Cuper, Cynthia C. S. Liem +2
Collaborative filtering algorithms have the advantage of not requiring sensitive user or item information to provide recommendations. However, they still suffer from fairness relat…
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
Laura Hollink, Aysenur Bilgin, Jacco van Ossenbruggen
The "basic level", according to experiments in cognitive psychology, is the level of abstraction in a hierarchy of concepts at which humans perform tasks quicker and with greater a…
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History
Aysenur Bilgin, Laura Hollink, Jacco van Ossenbruggen +4
With the growing abundance of unlabeled data in real-world tasks, researchers have to rely on the predictions given by black-boxed computational models. However, it is an often neg…
U-Sem: Semantic Enrichment, User Modeling and Mining of Usage Data on the Social Web
Fabian Abel, Ilknur Celik, Claudia Hauff +2
With the growing popularity of Social Web applications, more and more user data is published on the Web everyday. Our research focuses on investigating ways of mining data from suc…