Publications

Michael Müller and Amir Reza Mohammadi and Andreas Peintner and Beatriz Barroso Gstrein and Günther Specht and Eva Zangerle (2026). Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2026, Gothenburg, Sweden, June 8-11, 2026, ACM.

Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2026). Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations. ACM Transactions on Recommender Systems, ACM.

Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2026). Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract). Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2026 (Sister Conferences Best Papers Track), International Joint Conferences on Artificial Intelligence Organization.

Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2026). Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM.

Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2025). Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems. Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025, ACM.

Andreas Peintner and Amir Reza Mohammadi and Michael Müller and Eva Zangerle (2025). Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, ACM.

Michael Müller (2025). Advancing User-Centric Evaluation and Design of Conversational Recommender Systems. Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025, ACM.

Michael M. Müller and Amir Reza Mohammadi and Andreas Peintner and Beatriz Barroso Gstrein and Eva Zangerle and Günther Specht (2025). Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems. Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, Germany, September 29-October 01, 2025, CEUR Workshop Proceedings, CEUR-WS.org.

Amir Reza Mohammadi and Michael M. Müller and Andreas Peintner and Beatriz Barroso Gstrein and Eva Zangerle and Günther Specht (2025). Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence. Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, Germany, September 29-October 01, 2025, CEUR Workshop Proceedings, CEUR-WS.org.

Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2024). Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, ACM.

Michael M. Müller and Günther Specht and Lukas Kleinheinz and Janette F. Walde (2024). Bias Correction and Machine Learning in AR(1) Estimation: Bridging Traditional and Modern Techniques. Proceedings of the 35th GI-Workshop Grundlagen von Datenbanken, Herdecke, Germany, May 22-24, 2024, CEUR Workshop Proceedings, CEUR-WS.org.