2 papers
cs.IR2026
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
Michael Müller, Amir Reza Mohammadi, Andreas Peintner +3
User-centric evaluation has become a key paradigm for assessing Conversational Recommender Systems (CRS), aiming to capture subjective qualities such as satisfaction, trust, and ra…
cs.IR2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro +2
In session-based recommender systems, predictions are based on the user's preceding behavior in the session. State-of-the-art sequential recommendation algorithms either use graph…