Journals
Single Stage Adaptive Multi-Attention Network for Image Restoration
IEEE Transactions on Image Processing, 2024
Song lyrics have become simpler and more repetitive over the last five decades
Scientific Reports, 2024
Content-driven music recommendation: Evolution, state of the art, and challenges
Computer Science Review, 2024
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), 2023
Differential Privacy in Collaborative Filtering Recommender Systems: A Review
Frontiers in Big Data - Recommender Systems, 2023
Fairness of Recommender Systems in the Recruitment Domain: An Analysis from Technical and Legal Perspectives
Frontiers in Big Data - Recommender Systems, 2023
Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Big Data and Cognitive Computing, 2023
Exploring emotions in Bach chorales: a multi-modal perceptual and data-driven study
Royal Society Open ScienceSpringer, 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
Multimodal Representation Learning for high-quality Recommendations in Cold-start and Beyond-Accuracy
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), 2024
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys), 2024
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Companion of the 32nd ACM International Conference on Multimedia (MM), 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), 2024
Best Student Paper Award
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), 2024
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
Findings of the Association for Computational Linguistics ACL 2024, 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 (UMAP), 2024
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
Proceedings of the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS @ SIGIR 2024), 2024
Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition
Findings of the Association for Computational Linguistics: EACL 2024, 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
The 18th Conference of the European Chapter of the Association for Computational Linguistics March 17-22, 2024, 2024
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
31st European Signal Processing Conference, (EUSIPCO) 2023, Helsinki,Finland, September 4-8, 2023, 2023
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations
Advances in Bias and Fairness in Information Retrieval, 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
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Findings of the Association for Computational Linguistics: ACL 2023, 2023
Towards Potential Applications of Machine Learning in Computer-Assisted Vocal Training
Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), ., 2023
Music Emotions in Solo Piano: Bridging the Gap Between Human Perception and Machine Learning
Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), ., 2023
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI
Proceedings of the 4th Conference on Language, Data and Knowledge, 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
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
Christian Ganhör
Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
Johannes Kepler University Linz, Master's Thesis, 2024
Cornelia Volaucnik
Controllability of Bias Mitigation in Retrieval Models
Johannes Kepler University Linz, Master's Thesis, 2024
Muhammad Suleiman
Content-enriched Popularity Prediction for Music Tracks
Johannes Kepler University Linz, Master's Thesis, 2024
David Obermann
In-Task Knowledge Transfer: Applying AdapterFusion to Dense Passage Retrieval
Johannes Kepler University Linz, Master's Thesis, 2024
Linda Ratz
Measuring Gender Bias in Information Retrieval Models
Johannes Kepler University Linz, Master's Thesis, 2023
Christian Wallmann
Explainable Sequential Music Recommender Systems: Integrating Collaborative Filtering and Theories of Human Memory
Johannes Kepler University Linz, Master's Thesis, 2023
Lukas Hauzenberger
Modular DiffPruning for Bias Mitigation
Johannes Kepler University Linz, Master's Thesis, 2023
Katrin Leberfinger
Gender Bias in Content-Based Music Recommendation Systems
Johannes Kepler University Linz, Master's Thesis, 2022
Majd Azzam
Hybrid Music Recommendation Approach for Heterogeneous Information Network using Factorization Machines
Johannes Kepler University Linz, Master's Thesis, 2021