Andreas Peintner

According to our database, Andreas Peintner authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems.

Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle

CoRR, February, 2026

2025

Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search.

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle

Trans. Recomm. Syst., December, 2025

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features.

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle

CoRR, February, 2025

Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network.

Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauß, Marcel Zentner, Eva Zangerle

Trans. Int. Soc. Music. Inf. Retr., 2025

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation.

Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle

Proceedings of the ACM on Web Conference 2025, 2025

Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems.

Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems.

Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht

Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, 2025

Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence.

Amir Reza Mohammadi, Michael M. Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht

Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, 2025

2024

Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags.

Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers.

Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation.

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Sequential Recommendation Models: A Graph-based Perspective.

Andreas Peintner

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2021

Recognizing Song Mood and Theme: Clustering-based Ensembles.

Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021