Publications

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2024

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Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle and Günther Specht: HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. In Proceedings of the 34nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'23) . 2024

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Hannah Strauss, Julia Vigl, Peer-Ole Jacobsen, Martin Bayer, Francesca Talamini, Wolfgang Vigl, Eva Zangerle and Marcel Zentner: The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts. In Behavior Research Methods, volume 56, no. 4, pages 3560-3577. Springer, 2024

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Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner and Markus Schedl: Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, pages 159–164. Association for Computing Machinery, 2024

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Michael M. Müller, Günther Specht, Lukas Kleinheinz and Janette F. Walde: Bias Correction and Machine Learning in AR(1) Estimation: Bridging Traditional and Modern Techniques. In Proceedings of the 35nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'24) . 2024

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Emilia Parada-Cabaleiro, Maximilian Mayerl, Stefan Brandl, Marcin Skowron, Markus Schedl, Elisabeth Lex and Eva Zangerle: Song lyrics have become simpler and more repetitive over the last five decades. In Scientific Reports, vol. 14, no. 1, pages 5531. Nature Publishing Group UK London, 2024

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Axel Soto and Eva Zangerle: 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.  Vol. 3660. CEUR-WS.org, 2024

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Christine Bauer, Eva Zangerle and Alan Said: Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. In ACM Transactions on Recommender Systems, vol. 2, no. 1. Association for Computing Machinery, 2024

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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 Taule, Dmitry Ustalov, Matti Wiegmann and Eva Zangerle: Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI, vol. 14613, pages 3-10. Springer, 2024

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Christine Bauer, Alan Said and Eva Zangerle: Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. In ACM Transactions on Recommender Systems, vol. 2, no. 1. Association for Computing Machinery, 2024

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Alan Said, Eva Zangerle and Christine Bauer: Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023. In SIGIR Forum, vol. 57, no. 2. Association for Computing Machinery, 2024

2023

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Eva Zangerle, Maximilian Mayerl, Martin Potthast and Benno Stein: Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023, vol. 3497, pages 2513-2522. CEUR-WS.org, 2023

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Andreas Peintner: Sequential Recommendation Models: A Graph-based Perspective. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pages 1295-1299. ACM, 2023

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Alan Said, Eva Zangerle, and Christine Bauer: 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. Vol. 3476. CEUR-WS.org, 2023

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Amir Reza Mohammadi: Explainable Graph Neural Network Recommenders; Challenges and Opportunities. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pages 1318-1324. ACM, 2023

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Andreas Peintner, Amir Reza Mohammadi and Eva Zangerle: SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pages 58-69. ACM, 2023

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Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Rios, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pkezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle: Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, pages 459-481. Springer Nature Switzerland, 2023

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Alan Said, Eva Zangerle and Christine Bauer: Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pages 1221-1222. ACM, 2023

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Eva Zangerle and Christine Bauer: Evaluating Recommender Systems: Survey and Framework. In ACM Computing Surveys, vol. 55, no. 8. Association for Computing Machinery, 2023

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Michael Vötter, Maximilian Mayerl, Eva Zangerle and Günther Specht: Song Popularity Prediction using Ordinal Classification. In Proceedings of the 20th Sound and Music Computing Conference. June 15-17, 2023. Stockholm, Sweden. Royal College of Music and KTH Royal Institute of Technology, 2023

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Maximilian Mayerl, Michael Vötter, Günther Specht and Eva Zangerle: Pairwise Learning to Rank for Hit Song Prediction. In BTW 2023. Gesellschaft für Informatik e.V., 2023

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Manfred Moosleitner, Günther Specht and Eva Zangerle: Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness. In BTW 2023. Gesellschaft für Informatik e.V., 2023

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Eva Zangerle, Christine Bauer and Alan Said: Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. In SIGIR Forum, vol. 56, no. 2. Association for Computing Machinery, 2023.

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Benjamin Murauer, Michael Tschuggnall and Günther Specht: On the Influence of Machine Translation on Language Origin Obfuscation. In Computational Linguistics and Intelligent Text Processing, pages 320-330. Springer Nature Switzerland, 2023

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Benjamin Murauer, Michael Tschuggnall, Günther Specht and Julia Brandl: Algorithmic Segmentation of Job Ads Using Textual Analysis. In Computational Linguistics and Intelligent Text Processing, pages 287-300. Springer Nature Switzerland, 2023

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Janek Bevendorff, Mara Chinea-Rios, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pkezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle: Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection. In Advances in Information Retrieval (ECIR 2023), pages 518-526. Springer Nature Switzerland, 2023