| 2026 | ECIR | Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection. | Janek Bevendorff, Maik Frbe, Andr Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle |
| 2026 | SIGIR | Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation. | Amir Reza Mohammadi, Andreas Peintner, Michael M. Mller, Eva Zangerle |
| 2025 | ECIR | Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. | Janek Bevendorff, Daryna Dementieva, Maik Frbe, Bela Gipp, Andr Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle |
| 2025 | RecSys | Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems. | Amir Reza Mohammadi, Andreas Peintner, Michael Mller, Eva Zangerle |
| 2025 | RecSys | Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025). | Eva Zangerle, Alan Said, Christine Bauer |
| 2025 | WWW | Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. | Andreas Peintner, Amir Reza Mohammadi, Michael Mller, Eva Zangerle |
| 2024 | ECIR | Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. | Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Frbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taul, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle |
| 2024 | RecSys | Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. | Amir Reza Mohammadi, Andreas Peintner, Michael Mller, Eva Zangerle |
| 2024 | RecSys | Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES). | Alan Said, Christine Bauer, Eva Zangerle |
| 2023 | BTW | Pairwise Learning to Rank for Hit Song Prediction. | Maximilian Mayerl, Michael Vtter, Gnther Specht, Eva Zangerle |
| 2023 | BTW | Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. | Manfred Moosleitner, Gnther Specht, Eva Zangerle |
| 2023 | ECIR | Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. | Janek Bevendorff, Mara Chinea-Rios, Marc Franco-Salvador, Annina Heini, Erik Krner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle |
| 2023 | RecSys | SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. | Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle |
| 2023 | RecSys | Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). | Alan Said, Eva Zangerle, Christine Bauer |
| 2022 | CIKM | Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. | Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl |
| 2022 | ECIR | Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. | Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle |
| 2022 | RecSys | Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). | Eva Zangerle, Christine Bauer, Alan Said |
| 2021 | ECIR | Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract. | Janek Bevendorff, Berta Chulvi, Gretel Liz De la Pea Sarracn, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle |
| 2021 | ISM | Novel Datasets for Evaluating Song Popularity Prediction Tasks. | Michael Vtter, Maximilian Mayerl, Gnther Specht, Eva Zangerle |
| 2021 | RecSys | Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). | Eva Zangerle, Christine Bauer, Alan Said |
| 2020 | ECIR | Shared Tasks on Authorship Analysis at PAN 2020. | Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Gnther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle |
| 2020 | RecSys | Personality Bias of Music Recommendation Algorithms. | Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl |
| 2019 | RecSys | Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. | Christine Bauer, Eva Zangerle |
| 2018 | CBMI | Latent Feature Combination for Multi-Context Music Recommendation. | Martin Pichl, Eva Zangerle |
| 2018 | ECIR | ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists. | Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger, Gnther Specht |
| 2018 | IUI | geMsearch: Personalized Explorative Music Search. | Christian Esswein, Markus Schedl, Eva Zangerle |
| 2018 | SIGIR | Carl: Sports Award Recommender. | Martin Pichl, Bernward Pichl, Eva Zangerle |
| 2018 | SIGMOD | HOT: A Height Optimized Trie Index for Main-Memory Database Systems. | Robert Binna, Eva Zangerle, Martin Pichl, Gnther Specht, Viktor Leis |
| 2017 | ISM | Mining Culture-Specific Music Listening Behavior from Social Media Data. | Martin Pichl, Eva Zangerle, Gnther Specht, Markus Schedl |
| 2016 | ISM | Understanding Playlist Creation on Music Streaming Platforms. | Martin Pichl, Eva Zangerle, Gnther Specht |
| 2015 | ICDM | Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name? | Martin Pichl, Eva Zangerle, Gnther Specht |
| 2015 | ICWE | #Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. | Martin Pichl, Eva Zangerle, Gnther Specht |
| 2014 | SAC | "Sorry, I was hacked": a classification of compromised twitter accounts. | Eva Zangerle, Gnther Specht |
| 2012 | WWW | SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information. | Wolfgang Gassler, Eva Zangerle, Martin Brgler, Gnther Specht |
| 2010 | RecSys | Recommending structure in collaborative semistructured information systems. | Eva Zangerle, Wolfgang Gassler, Gnther Specht |