Publications

Janek Bevendorff, Maik Fröbe, André Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle (2026). Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction.

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Christine Bauer, Eva Zangerle, Alan Said (2026). Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026). Proceedings of the 20th ACM Conference on Recommender Systems.

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Matthias Hagen, Martin Potthast, Benno Stein, Philipp Schaer, Eva Zangerle, Sean MacAvaney, Julia Maria Struß, Eva Sánchez Salido, Alberto Barrón-Cedeño, Alba García Seco De Herrera (2026). Experimental IR Meets Multilinguality, Multimodality, and Interaction. Springer.

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Xavier Serra, Vinoo Alluri, Stefan Balke, Juan Pablo Bello, Emmanouil Benetos, Dmitry Bogdanov, Johanna Devaney, Simon Dixon, Zhiyao Duan, George Fazekas, Arthur Flexer, Frederic Font, Magdalena Fuentes, Ichiro Fujinaga, Emilia Gómez, Masataka Goto, Romain Hennequin, Dorien Herremans, Xiao Hu, Dasaem Jeong, Peter Knees, Filip Korzeniowski, Stefan Lattner, Jin Ha Lee, Alexander Lerch, Cynthia Liem, Brian McFee, Emilio Molina, Meinard Müller, Tomoyasu Nakano, Juhan Nam, Oriol Nieto, Sergio Oramas, Bryan Pardo, Geoffroy Peeters, Preeti Rao, Gaël Richard, Martín Rocamora, Ajay Srinivasamurthy, Li Su, Bob L. T. Sturm, George Tzanetakis, Anja Volk, Ye Wang, Gerhard Widmer, Frans Wiering, Christof Weiß, Yi-Hsuan Yang, Eva Zangerle (2026). AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive Music‑AI. Transactions of the International Society for Music Information Retrieval.

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Amir Reza Mohammadi, Andreas Peintner, Michael Mueller, Eva Zangerle (2026). Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations. ACM Trans. Recomm. Syst..

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Amir Reza Mohammadi, Andreas Peintner, Michael M. Müller, Eva Zangerle (2026). Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract). Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26.

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Amir Reza Mohammadi, Andreas Peintner, Michael M. Müller, Eva Zangerle (2026). Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle (2026). Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization.

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Janek Bevendorff, Maik Fröbe, André Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle (2026). Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection -- Extended Abstract. Advances in Information Retrieval. 48th European Conference on IR Research (ECIR 2026).

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Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André 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). Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Sixteenth International Conference of the CLEF Association (CLEF 2025).

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Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle (2025). Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. Transactions of the International Society for Music Information Retrieval.

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Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle (2025). Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search. ACM Transactions on Recommender Systems.

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Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht (2025). Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems. Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, Germany, September 29-October 01, 2025.

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Amir Reza Mohammadi, Michael M. Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht (2025). Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence. Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg, Germany, September 29-October 01, 2025.

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Eva Zangerle, Alan Said, Christine Bauer (2025). Proceedings of Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), Prague, Czech Republic, September 26, 2025. CEUR-WS.org.

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Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein (2025). Overview of the Multi-Author Writing Style Analysis Task at PAN 2025. Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025), Madrid, Spain, 9-12 September, 2025.

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Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, Andre 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). Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection. Advances in Information Retrieval (ECIR 2025).

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Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle (2025). Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. Proceedings of the ACM Web Conference 2025.

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Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle (2025). Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems. Proceedings of the Nineteenth ACM Conference on Recommender Systems.

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Eva Zangerle, Alan Said, Christine Bauer (2025). Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025). Proceedings of the Nineteenth ACM Conference on Recommender Systems.

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Peer-Ole Jacobsen, Hannah Strauss, Julia Vigl, Eva Zangerle, Marcel Zentner (2025). Assessing aesthetic music-evoked emotions in a minute or less: A comparison of the GEMS-45 and the GEMS-9. Musicae Scientiae.

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Christine Bauer, Alan Said, Eva Zangerle (2024). Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211). Dagstuhl Reports.

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Alan Said, Christine Bauer, Eva Zangerle (2024). Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES). Proceedings of the 18th ACM Conference on Recommender Systems.

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Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle (2024). Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. Proceedings of the 18th ACM Conference on Recommender Systems.

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Hannah Strauss, Julia Vigl, Peer-Ole Jacobsen, Martin Bayer, Francesca Talamini, Wolfgang Vigl, Eva Zangerle, Marcel Zentner (2024). The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts. Behavior Research Methods.

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Christine Bauer, Alan Said, Eva Zangerle (2024). Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. ACM Transactions on Recommender Systems.

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Christine Bauer, Eva Zangerle, Alan Said (2024). Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. ACM Transactions on Recommender Systems.

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Emilia Parada-Cabaleiro, Maximilian Mayerl, Stefan Brandl, Marcin Skowron, Markus Schedl, Elisabeth Lex, Eva Zangerle (2024). Song lyrics have become simpler and more repetitive over the last five decades. Scientific Reports.

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Alan Said, Eva Zangerle, Christine Bauer (2024). Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023. SIGIR Forum.

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Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein (2024). Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024.

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Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korenčić, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle (2024). Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. Experimental IR Meets Multilinguality, Multimodality, and Interaction.

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Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle (2024). Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI.

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Axel Soto, Eva Zangerle (2024). Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), Greenville, South Carolina, USA, March 18, 2024. CEUR-WS.org.

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Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl (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.

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Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein (2023). Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum.

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Eva Zangerle, Christine Bauer (2023). Evaluating Recommender Systems: Survey and Framework. ACM Computing Surveys.

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Alan Said, Eva Zangerle, Christine Bauer (2023). Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023.

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Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle (2023). SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023.

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Michael Vötter, Maximilian Mayerl, Eva Zangerle, Günther Specht (2023). Song Popularity Prediction using Ordinal Classification. Proceedings of the 20th Sound and Music Computing Conference. June 15-17, 2023. Stockholm, Sweden.

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Eva Zangerle, Christine Bauer, Alan Said (2023). Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. SIGIR Forum.

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Alan Said, Eva Zangerle, Christine Bauer (2023). Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September 19, 2023. CEUR-WS.org.

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Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle (2023). Pairwise Learning to Rank for Hit Song Prediction. Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), Proceedings.

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Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Ríos, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pęzik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle (2023). Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction.

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Janek Bevendorff, Mara Chinea-Ríos, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pęzik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle (2023). Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. Advances in Information Retrieval (ECIR 2023).

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Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht (2023). HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Hirsau, Germany, June 7-9, 2023.

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Manfred Moosleitner, Günther Specht, Eva Zangerle (2023). Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme, Proceedings.

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Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl (2022). Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset. Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

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Eva Zangerle, Christine Bauer, Alan Said (2022). Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). Proceedings of the 16th ACM Conference on Recommender Systems.

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Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle (2022). HSP Datasets: Insights on Song Popularity Prediction. International Journal of Semantic Computing.

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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). Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection. Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II.

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Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis (2022). Height Optimized Tries. ACM Transactions on Database Systems.

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Eva Zangerle, Christine Bauer, Alan Said (2022). Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021. SIGIR Forum.

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Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle (2022). Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022.

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Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle (2022). Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22).

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Eva Zangerle (2022). Recommender Systems for Music Retrieval Tasks. Habilitation at the University of Innsbruck.

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Eva Zangerle, Christine Bauer, Alan Said (2022). Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022). CEUR-WS.org.

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Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein (2022). Overview of the Style Change Detection Task at PAN 2022. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th to 8th, 2022.

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Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle (2022). Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings.

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Manfred Moosleitner, Günther Specht, Eva Zangerle (2022). Co-rating Attacks on Recommendation Algorithms. Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21).

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Martin Pichl, Eva Zangerle (2021). User models for multi-context-aware music recommendation. Multimedia Tools and Applications.

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Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex (2021). Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Science.

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Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle (2021). Recognizing Song Mood and Theme: Clustering-based Ensembles. Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021.

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Eva Zangerle, Christine Bauer, Alan Said (2021). Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021). CEUR-WS.org.

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Eva Zangerle, Christine Bauer, Alan Said (2021). Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). Fifteenth ACM Conference on Recommender Systems.

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Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein (2021). Overview of the Style Change Detection Task at PAN 2021. CLEF 2021 Labs and Workshops, Notebook Papers.

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Janek Bevendorff, Berta Chulvi, Gretel Liz De La Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle (2021). Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. Advances in Information Retrieval – 43rd European Conference on IR Research (ECIR 2021).

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Janek Bevendorff, Berta Chulvi, Gretel Liz De La Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle (2021). Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings.

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Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle (2021). Novel Datasets for Evaluating Song Popularity Prediction Tasks. IEEE International Symposium on Multimedia, ISM 2021, Virtual Event, November 29 – December 1, 2021.

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Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang (2021). Leveraging Affective Hashtags for Ranking Music Recommendations. IEEE Transactions on Affective Computing.

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Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle (2020). Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. Working Notes Proceedings of the MediaEval 2020 Workshop.

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Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro Melchiorre, Markus Schedl (2020). Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19. Proceedings of the 21st International Society for Music Information Retrieval Conference 2020 (ISMIR 2020).

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Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast, Benno Stein (2020). Overview of the Style Change Detection Task at PAN 2020. CLEF 2020 Labs and Workshops, Notebook Papers.

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Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle (2020). Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. 11th International Conference of the CLEF Association (CLEF 2020).

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Clemens Hörtenhuemer, Eva Zangerle (2020). A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter---Notebook for PAN at CLEF 2020. CLEF 2020 Labs and Workshops, Notebook Papers.

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Eva Zangerle, Martin Pichl, Markus Schedl (2020). User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues. Transactions of the International Society for Music Information Retrieval.

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Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle (2020). Shared Tasks on Authorship Analysis at PAN 2020. Advances in Information Retrieval – 42nd European Conference on IR Research, ECIR 2020.

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Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy De Reuse (2020). Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020.

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Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl (2020). Personality Bias of Music Recommendation Algorithms. Fourteenth ACM Conference on Recommender Systems.

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Maximilian Mayerl, Michael Vötter, Manfred Moosleitner, Eva Zangerle (2020). Comparing Lyrics Features for Genre Recognition. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA).

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Maximilian Mayerl, Michael Vötter, Manfred Moosleitner, Eva Zangerle (2020). Comparing Lyrics Features for Genre Recognition. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA).

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Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Boyu Chen, Yi-Hsuan Yang, Eva Zangerle (2019). Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. Working Notes Proceedings of the MediaEval 2019 Workshop.

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Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle, Yi-Hsuan Yang (2019). MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. Working Notes Proceedings of the MediaEval 2019 Workshop.

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Eva Zangerle, Michael Tschuggnall, Günther Specht, Benno Stein, Martin Potthast (2019). Overview of the Style Change Detection Task at PAN 2019. Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019.

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Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, Eva Zangerle (2019). Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings.

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Christine Bauer, Eva Zangerle (2019). Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019).

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Manuel Schmidt, Eva Zangerle (2019). Article Quality Classification on Wikipedia: Introducing Document Embeddings and Content Features. Proceedings of the 15th International Symposium on Open Collaboration, OpenSym 2019.

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Gerhard Rampl, Elisabeth Gruber, Gerald Hiebel, Bettina Larl, Claudia Posch, Eva Zangerle (2019). "Nobody Climbs Mountains for Scientific Reasons" -- Semantic Mountaineering History: Names and Activities in Mountaineering Discourse. 10th International Corpus Linguistics Conference (CL2019).

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Maximilian Mayerl, Michael Vötter, Eva Zangerle, Günther Specht (2019). Language Models for Next-Track Music Recommendation. Proceedings of the 31. GI-Workshop Grundlagen von Datenbanken.

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Michael Vötter, Eva Zangerle, Maximilian Mayerl, Günther Specht (2019). Autoencoders for Next-Track Recommendations. Proceedings of the 31. GI-Workshop Grundlagen von Datenbanken.

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Gerald Hiebel, Klaus Hanke, Claudia Posch, Gerhard Rampl, Elisabeth Gruber, Andrea Mussmann, Eva Zangerle (2019). Zur Identifikation und Verortung von Bergnamen in alpiner Literatur. 20. Internationale Geodätische Woche Obergurgl 2019.

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Eva Zangerle, Ramona Huber, Michael Vötter, Yi-Hsuan Yang (2019). Hit Song Prediction: Leveraging Low- and High-Level Audio Features. Proceedings of the 20th International Society for Music Information Retrieval Conference 2019 (ISMIR 2019).

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Asir Saeed, Suzana Ilic, Eva Zangerle (2019). Creative GANs for generating poems, lyrics, and metaphors. CoRR.

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Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart Knijnenburg (2018). UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome and Organization. Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization.

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Eva Zangerle, Claudia Müller-Birn (2018). Recommendation-Assisted Data Curation for Wikidata. Wiki Workshop 2018, co-located with The Web Conference.

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Bettina Larl, Eva Zangerle (2018). Leiwand Oida: Geolocating Regional Linguistic Variation of German on Twitter. Proceedings of the 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-corpora 2018).

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Martin Pichl, Eva Zangerle (2018). Latent Feature Combination for Multi-Context Music Recommendation. 2018 International Conference on Content-Based Multimedia Indexing (CBMI).

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Christine Bauer, Eva Zangerle (2018). Information Imbalance and Responsibility in Recommender Systems. Workshop Proceeding of the 2nd Workshop on Green (Responsible, Ethical and Social) IT and IS - the Corporate Perspective (GRES-IT/IS).

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Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis (2018). HOT: A Height Optimized Trie Index for Main-Memory Database Systems. Proceedings of the 2018 International Conference on Management of Data (SIGMOD).

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Christian Esswein, Markus Schedl, Eva Zangerle (2018). geMsearch: Personalized Explorative Music Search. Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018).

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Eva Zangerle, Martin Pichl, Markus Schedl (2018). Culture-Aware Music Recommendation. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization.

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Eva Zangerle, Martin Pichl (2018). Content-based User Models: Modeling the Many Faces of Musical Preference. Proceedings of the 19th International Society for Music Information Retrieval Conference 2018 (ISMIR 2018).

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Martin Pichl, Bernward Pichl, Eva Zangerle (2018). Carl: Sports Award Recommender. The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018).

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Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger, Günther Specht (2018). ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists. Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2018.

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Asmita Poddar, Eva Zangerle, Yi-Hsuan Yang (2018). #nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems . Proceedings of the 15th Sound and Music Computing Conference.

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Barbara Laner, Andy Stauder, Eva Zangerle, Theo Hug (2017). Visualization Strategies for Digital Archives. The Case of the Ernst-von-Glasersfeld-Archive. 4th Digital Humanities Conference Austria (DHA17).

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Martin Pichl, Eva Zangerle, Günther Specht (2017). Understanding User-curated Playlists on Spotify: A Machine Learning Approach. International Journal of Multimedia Data Engineering and Management IJMDEM.

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Gerald Hiebel, Claudia Posch, Gerhard Rampl, Elisabeth Gruber, Klaus Hanke, Eva Zangerle (2017). Semantics for Mountaineering History. 4th Digital Humanities Conference Austria (DHA17).

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Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl (2017). Mining Culture-Specific Music Listening Behavior from Social Media Data. 2017 IEEE International Symposium on Multimedia (ISM).

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Martin Pichl, Eva Zangerle, Günther Specht (2017). Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach. Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, ICMR 2017, Bucharest, Romania.

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Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht (2017). Hierarchical Multilabel Classification and Voting for Genre Classification. Working Notes Proceedings of the MediaEval 2017 Workshop.

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Bettina Larl, Eva Zangerle (2017). Geolocating German on Twitter - Hitches and Glitches of Building and Exploring a Twitter Corpus. 9th International Corpus Linguistics Conference 2017.

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Adelheid Heftberger, Jakob Höper, Claudia Müller-Birn, Niels-Oliver Walkowski, Eva Zangerle (2017). Employing Wikidata for Fostering Scholarly Research. WikiDataCon 2017, Berlin.

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Gerald Hiebel, Claudia Posch, Gerhard Rampl, Eva Zangerle (2017). Building Bridges - Corpus Linguistics and Digital Humanities. 4th Digital Humanities Austria Conference - dha2017. Abstracts.

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Gerald Hiebel, Gerhard Rampl, Claudia Posch, Elisabeth Gruber, Eva Zangerle (2017). Bergnamen – Bergwelten. Toponymie im (Kon-)Text. Mainzer Namenstagung 2017: Toponyme - eine Standortbestimmung.

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Eva Zangerle, Michael Tschuggnall, Günther Specht (2017). Analyzing Coherent Characteristics in Music Playlists. 4th Digital Humanities Conference Austria (DHA17).

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Benjamin Murauer, Eva Zangerle, Günther Specht (2017). A Peer-Based Approach on Analyzing Hacked Twitter Accounts. Proceedings of the 50th Hawaii International Conference on System Sciences, HICSS 2017.

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Martin Pichl, Eva Zangerle, Günther Specht (2016). Understanding Playlist Creation on Music Streaming Platforms. IEEE International Symposium on Multimedia, ISM 2016, San Jose, CA, USA.

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Eva Zangerle, Martin Illecker, Günther Specht (2016). SentiStorm: Realtime Sentiment Detection von Tweets. HMD Praxis der Wirtschaftsinformatik.

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Bettina Larl, Eva Zangerle (2016). Geolocating German on Twitter Hitches and Glitches of Building and Exploring a Twitter Corpus. 4th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora2016).

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Eva Zangerle, Martin Pichl, Benedikt Hupfauf, Günther Specht (2016). Can Microblogs Predict Music Charts? An Analysis of the Relationship between #Nowplaying Tweets and Music Charts. Proceedings of the 17th International Society for Music Information Retrieval Conference 2016 (ISMIR 2016).

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Eva Zangerle, Georg Schmidhammer, Günther Specht (2016). Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links. 49th Hawaii International Conference on System Sciences, HICSS 2016, Kauai, Hawaii, USA, January 5-8, 2016.

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Eva Zangerle, Wolfgang Gassler, Stefan Steinhauser, Günther Specht (2016). An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. Proceedings of the 12th International Symposium on Open Collaboration.

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Martin Pichl, Eva Zangerle, Günther Specht (2015). Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?. 15th IEEE International Conference on Data Mining Workshops (ICDM 2015).

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Stefan Pröll, Eva Zangerle, Wolfgang Gassler (2015). MySQL 5.7 - Das umfassende Handbuch. Rheinwerk Verlag.

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Eva Zangerle, Georg Schmidhammer, Günther Specht (2015). #Wikipedia on Twitter: Analyzing Tweets About Wikipedia. Proceedings of the 11th International Symposium on Open Collaboration.

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Martin Pichl, Eva Zangerle, Günther Specht (2015). #nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. Current Trends in Web Engineering, 15th International Conference, ICWE 2015 Workshops (Revised Selected Papers).

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Eva Zangerle (2014). Missbrauch und Betrug auf Twitter. Datenflut und Informationskanäle.

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Wolfgang Gassler, Eva Zangerle, Günther Specht (2014). Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases. Journal on Future Generation Computer Systems.

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Eva Zangerle, Günther Specht (2014). Cybercrime on Twitter: Shifting the User Back into Focus. Proceedings of the WebScience Cybercrime / Cyberwar Workshop, co-located with WebSci14.

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Martin Pichl, Eva Zangerle, Günther Specht (2014). Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. Proceedings of the 26nd Workshop Grundlagen von Datenbanken (GvDB 2014), Ritten, Italy.

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Eva Zangerle, Martin Pichl, Wolfgang Gassler, Günther Specht (2014). #nowplaying Music Dataset: Extracting Listening Behavior from Twitter. Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management.

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Eva Zangerle, Günther Specht (2014). "Sorry, I was hacked": A Classification of Compromised Twitter Accounts. Proceedings of the 29th ACM Symposium on Applied Computing.

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Eva Zangerle, Wolfgang Gassler, Günther Specht (2013). On the impact of text similarity functions on hashtag recommendations in microblogging environments. Social Network Analysis and Mining.

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Stefan Pröll, Eva Zangerle, Wolfgang Gassler (2013). MySQL 5.6 - Das umfassende Handbuch. Galileo Computing.

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Eva Zangerle (2013). Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms. PhD thesis at the University of Innsbruck.

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Eva Zangerle (2013). Exploiting Recommendations in Microblogging Environments. Scientific Computing@uibk.

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Eva Zangerle (2013). Dissertationen: Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms. Datenbank-Spektrum.

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Wolfgang Gassler, Eva Zangerle, Martin Bürgler, Günther Specht (2012). SnoopyTagging: Recommending Contextualized Tags to Increase the Quality and Quantity of Meta-Information. Proceedings of the 21st International Conference on the World Wide Web 2012, Lyon, France (Poster).

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Eva Zangerle, Wolfgang Gassler, Günther Specht (2012). Exploiting Twitter's Collective Knowledge for Music Recommendations. Proceedings, 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages.

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Eva Zangerle, Wolfgang Gassler (2012). Dealing with Structure Heterogeneity in Semantic Collaborative Environments. Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources.

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Eva Zangerle, Wolfgang Gassler, Günther Specht (2011). Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments. Proceedings of the Third International Conference on Social Informatics (SocInfo) 2011.

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Wolfgang Gassler, Eva Zangerle, Günther Specht (2011). The Snoopy Concept: Fighting Heterogeneity in Semistructured and Collaborative Information Systems by using Recommendations. The 2011 International Conference on Collaboration Technologies and Systems (CTS 2011).

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Robert Binna, Eva Zangerle, Wolfgang Gassler, Dominic Pacher, Günther Specht (2011). SpiderStore: A Native Main Memory Approach for Graph Storage. Proceedings of the 23nd Workshop Grundlagen von Datenbanken (GvDB 2011), Obergurgl, Austria.

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Eva Zangerle, Wolfgang Gassler, Günther Specht (2011). Recommending #-tags in Twitter. Proceedings of the Workshop on Semantic Adaptive Social Web 2011 in connection with the 19th International Conference on User Modeling, Adaptation and Personalization, UMAP 2011.

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Wolfgang Gassler, Eva Zangerle, Günther Specht (2011). Proceedings of the 23rd GI-Workshop on Grundlagen von Datenbanken, Obergurgl, Austria. . CEUR-WS.org.

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Stefan Pröll, Eva Zangerle, Wolfgang Gassler (2011). MySQL - Das Handbuch für Administratoren. Galileo Computing.

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Alexander Larcher, Eva Zangerle, Wolfgang Gassler, Günther Specht (2011). Key Recommendations for Infoboxes in Wikipedia.

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Robert Binna, Wolfgang Gassler, Eva Zangerle, Dominic Pacher, Günther Specht (2010). SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying. Proceedings of the 1st International Workshop on Semantic Data Management (SemData) at the 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore.

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Eva Zangerle, Wolfgang Gassler, Michael Tschuggnall, Günther Specht (2010). SnoopyDB: Narrowing the Gap between Structured and Unstructured Information using Recommendations. HT'10, Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, Toronto, Ontario, Canada, June 13-16, 2010.

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Eva Zangerle, Wolfgang Gassler, Günther Specht (2010). Recommending Structure in Collaborative Semistructured Information Systems. RecSys ‘10: Proceedings of the third ACM Conference on Recommender systems.

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Wolfgang Gassler, Eva Zangerle (2010). Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems. Proceedings of the 22nd Workshop Grundlagen von Datenbanken (GvDB 2010), Bad Helmstedt, Germany.

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