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2020 – today
- 2026
[c11]Amir Reza Mohammadi
, Andreas Peintner, Michael M. Müller, Eva Zangerle:
Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation. SIGIR 2026: 1371-1381- [c10]Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle:
Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems? UMAP 2026: 351-355 - [i2]Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle:
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems. CoRR abs/2602.17264 (2026) - 2025
- [j2]Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauß, Marcel Zentner, Eva Zangerle:
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. Trans. Int. Soc. Music. Inf. Retr. 8(1): 140-153 (2025) - [j1]Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle:
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search. Trans. Recomm. Syst. 3(4): 46:1-46:24 (2025) - [c9]Amir Reza Mohammadi, Michael M. Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht:
Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence. GvDB 2025: 23-30 - [c8]Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht:
Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems. GvDB 2025: 84-89 - [c7]Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle:
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems. RecSys 2025: 515-520 - [c6]Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle:
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. WWW 2025: 3809-3818 - [i1]Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle:
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CoRR abs/2502.13763 (2025) - 2024
- [c5]Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle:
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. RecSys 2024: 1113-1118 - [c4]Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl:
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. UMAP 2024: 159-164 - 2023
- [c3]Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle:
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. RecSys 2023: 58-69 - [c2]Andreas Peintner:
Sequential Recommendation Models: A Graph-based Perspective. RecSys 2023: 1295-1299 - 2021
- [c1]Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Clustering-based Ensembles. MediaEval 2021
Coauthor Index
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