| 2025 | RecSys | A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives. | Florian Atzenhofer-Baumgartner, Georg Vogeler, Dominik Kowald |
| 2025 | RecSys | Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. | Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald |
| 2025 | RecSys | Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study. | Robin Ungruh, Alejandro Bellogn, Dominik Kowald, Maria Soledad Pera |
| 2024 | ECAI | AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. | Tomislav Duricic, Peter Mllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas |
| 2024 | ECIR | The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. | Peter Mllner, Elisabeth Lex, Markus Schedl, Dominik Kowald |
| 2024 | RecSys | Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. | Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl |
| 2023 | ECIR | Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. | Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald |
| 2023 | RecSys | Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. | Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2022 | ECIR | What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. | Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstaedt, Dominik Kowald |
| 2021 | ECIR | Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. | Peter Mllner, Dominik Kowald, Elisabeth Lex |
| 2021 | RecSys | Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? | Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2020 | ECIR | The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. | Dominik Kowald, Markus Schedl, Elisabeth Lex |
| 2020 | ISMIS | Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. | Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex |
| 2020 | LAK | Slow is good: the effect of diligence on student performance in the case of an adaptive learning system for health literacy. | Leon Fadljevic, Katharina Maitz, Dominik Kowald, Viktoria Pammer-Schindler, Barbara Gasteiger-Klicpera |
| 2019 | GI | The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. | Elisabeth Lex, Dominik Kowald |
| 2018 | CIKM | AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. | Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex |
| 2018 | CIKM | Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. | Emanuel Lacic, Dominik Kowald, Elisabeth Lex |
| 2018 | RecSys | Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. | Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex |
| 2018 | WWW | AFEL - Analytics for Everyday Learning. | Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann |
| 2018 | WWW | The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study. | Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex |
| 2017 | RecSys | Tailoring Recommendations for a Multi-Domain Environment. | Emanuel Lacic, Dominik Kowald, Elisabeth Lex |
| 2017 | WWW | Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. | Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex |
| 2015 | RecSys | Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. | Dominik Kowald, Elisabeth Lex |
| 2015 | RecSys | Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. | Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jrg Simon, Elisabeth Lex |
| 2015 | WWW | Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. | Dominik Kowald |
| 2015 | WWW | Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. | Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley |
| 2014 | WWW | Long time no see: the probability of reusing tags as a function of frequency and recency. | Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley |
| 2014 | WWW | Towards a scalable social recommender engine for online marketplaces: the case of apache solr. | Emanuel Lacic, Dominik Kowald, Denis Parra, Martin Kahr, Christoph Trattner |
| 2013 | CIKM | Recommending tags with a model of human categorization. | Paul Seitlinger, Dominik Kowald, Christoph Trattner, Tobias Ley |