2 papers
cs.AI2026
From Counterfactual Edits to Human Narratives: LLM-Driven Interpretations for Recommender System Explanations
Vojtech Cahlik, Amir Reza Mohammadi, Rodrigo Alves +2
Recommender systems increasingly influence what users discover and consume online, yet the decision logic behind their outputs often remains opaque. Counterfactual explanation (CFX…
cs.IR2026
Leveraging Artist Catalogs for Cold-Start Music Recommendation
Yan-Martin Tamm, Gregor Meehan, Vojtěch Nekl +4
The item cold-start problem poses a fundamental challenge for music recommendation: newly added tracks lack the interaction history that collaborative filtering (CF) requires. Exis…