Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
Lecture Notes in Artificial Intelligence Springer Springer Graz
Using autoencoders for session‑based job recommendatio
User Modeling and User-Adapted Interaction UMUAI Kluwer Academic Publishers and now Springer Verlag Switzerland
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendation
Humanize workshop co-located with the 25th ACM Conference on Intelligent User Interface IUI ACM Cagliari (online due to COVID-19)
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
42nd European Conference on Information Retrieval ECIR Springer Lisbon, Portugal (online due to COVID-19)
Slow is Good: The Effect of Diligence on Student Performance inthe Case of an Adaptive Learning System for Health Literacy
Proceedings of the 10th International Learning Analytics & Knowledge Conference (LAK20) ACM Association for Computing Machinery Frankfurt (online due to COVID-19)
Modeling Popularity and Temporal Drift of Music Genre Preferences
Transactions of the International Society for Music Information Retrieval (TISMIR TISMIR Ubiquity Press London