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cs.HC2026
Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD
Vedad Misirlic, Gregor Mayr, Elisabeth Lex
Short-form video platforms use recommender systems to maximize engagement through highly efficient personalized recommendations. However, the impact of these recommendations on use…
cs.HC2025
Graph Queries from Natural Language using Constrained Language Models and Visual Editing
Benedikt Kantz, Kevin Innerebner, Peter Waldert +3
Querying knowledge bases using ontologies is usually performed using dedicated query languages, question-answering systems, or visual query editors for Knowledge Graphs. We propose…