Biography
Hello! My name is Andreas Peintner and I am a second-year PhD student in Computer Science at the University of Innsbruck, who is supervised by Eva Zangerle, PhD.
My research interests include sequential recommendation, music retrieval and graph neural networks.
Download my resumé .
Interests
- Machine Learning
- Recommender Systems
- Information Retrieval
Education
PhD in Computer Science, ongoing
University of Innsbruck
MSc in Computer Science, 2021
University of Innsbruck
BSc in Computer Science, 2018
University of Innsbruck
Recent Publications
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(2023).
SPARE - Shortest Path Global Item Relations for Efficient Session-based Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems.
(2023).
Sequential Recommendation Models - A Graph-based Perspective.
Proceedings of the 17th ACM Conference on Recommender Systems.
(2022).
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features.
CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22).
(2022).
Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer.
Cancers.
(2021).
Recognizing Song Mood and Theme: Clustering-based Ensembles.
Working Notes Proceedings of the MediaEval 2021 Workshop.