Journals
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
ACM Transactions on Intelligent Systems and Technology, 2023
Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation
International Journal of Multimedia Information Retrieval (IJMIR) To Appear, 2023
Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Big Data and Cognitive Computing, 2023
Recommender Systems under European AI Regulations
Communications of the ACM, 2022
An Exploratory Study on the Acoustic Musical Properties to Decrease Self-Perceived Anxiety
International Journal of Environmental Research and Public Health, 2022
Explainability in music recommender systems
AI Magazine, 2022
Affect in Multimedia: Benchmarking Violent Scenes Detection
IEEE Transactions on Affective Computing, 2022
Support the underground: characteristics of beyond-mainstream music listeners
EPJ Data Science, 2021
Investigating Gender Fairness of Recommendation Algorithms in the Music Domain
Information Processing & Management, 2021
Psychology-Informed Recommender Systems
Foundations and Trends in Information Retrieval, 2021
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes
Frontiers in Artificial Intelligence, 2021
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues
Transactions of the International Society for Music Information Retrieval, 2020
Recommender Systems Leveraging Multimedia Content
ACM Computing Surveys, 2020
Modeling Popularity and Temporal Drift of Music Genre Preferences
Transactions of the International Society for Music Information Retrieval, 2020
Preface to the Special Issue on User Modeling for Personalized Interaction with Music
User Modeling and User-Adapted Interaction, 2020
Intelligent User Interfaces for Music Discovery
Transactions of the International Society for Music Information Retrieval, 2020
Conference and Workshop Proceedings
Trustworthy Algorithmic Ranking Systems
Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), 2023
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences
Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), 2023
Computational Versus Perceived Popularity Miscalibration in Recommender Systems
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023
Multiobjective Hyperparameter Optimization of Recommender Systems
Proceedings of the 3rd Workshop on Perspectives on the Evaluation of Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore., 2023
Domain Information Control at Inference Time for Acoustic Scene Classification
Accepted to the 31st edition of EUSIPCO, 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), 2023
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
Proceedings of the 16th ACM Conference on Recommender Systems (RecSys), 2022
Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September, 2022
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms
Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022
EmoMTB: Emotion-aware Music Tower Blocks
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR), 2022
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
CARS Workshop on Context-Aware Recommender Systems (RecSys), 2022
Automatic Recognition of Texture in Renaissance Music
International Society for Music Information Retrieval, 2021
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Proceedings of the 15th ACM Conference on Recommender Systems (RecSys), 2021
LEMONS: Listenable Explanations for Music recOmmeNder Systems
Proceedings of the 43rd European Conference on Information Retrieval (ECIR), 2021
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval, 2021
Personality Correlates of Music Audio Preferences for Modelling Music Listeners
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2020
Personality Bias of Music Recommendation Algorithms
Proceedings of the 14th ACM Conference on Recommender Systems (RecSys), 2020
Books and Book Chapters
Editors:
Chapter: Listener awareness in music recommender systems: directions and current trends
Personalized Human-Computer Interaction
De Gruyter Oldenbourg, 2023.
Editors:
Chapter: Fairness of information access system
Personalized Human-Computer Interaction
De Gruyter Oldenbourg, 2023.
Editors:
Chapter: Music Recommendation Systems: Techniques, Use Cases, and Challenges
Recommender Systems Handbook (3rd edition)
Springer, 2022.
Editors:
Chapter: Multimedia Recommender Systems: Algorithms and Challenges
Recommender Systems Handbook (3rd edition)
Springer, 2022.
Theses
Linda Ratz
Measuring Gender Bias in Information Retrieval Models
Johannes Kepler University Linz, Master's Thesis, 2023
Majd Azzam
Hybrid Music Recommendation Approach for Heterogeneous Information Network using Factorization Machines
Johannes Kepler University Linz, Master's Thesis, 2021
Katrin Leberfinger
Gender Bias in Content-Based Music Recommendation Systems
Johannes Kepler University Linz, Master's Thesis, 2022