Andreas Peintner
Andreas Peintner

AI Engineer / PhD Candidate

About Me

Hello! My name is Andreas Peintner and I am a fourth-year PhD student in Computer Science at the University of Innsbruck, who is supervised by Dr. Eva Zangerle. My research interests include sequential recommendation, music information retrieval and graph neural networks.

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Interests
  • Machine Learning
  • Recommender Systems
  • Information Retrieval
Education
  • PhD Computer Science

    University of Innsbruck

  • MSc Computer Science

    University of Innsbruck

  • BSc Computer Science

    University of Innsbruck

Recent Publications
(2025). Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. Transactions of the International Society for Music Information Retrieval (8).
(2025). Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. Proceedings of the ACM on Web Conference 2025.
(2024). Unternehmensleitung in der Aktiengesellschaft und Künstliche Intelligenz. wbl - Wirtschaftsrechtliche Blätter 2024, 697.
(2024). Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. Proceedings of the 18th ACM Conference on Recommender Systems.
(2024). Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization.