Publications

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2023

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Christine Bauer, Eva Zangerle and Alan Said: Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. In ACM Trans. Recomm. Syst.. Association for Computing Machinery, 2023 Just Accepted

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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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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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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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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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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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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

2022

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Eva Zangerle: Recommender Systems for Music Retrieval Tasks. Habilitation Thesis, University of Innsbruck, 2022

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Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl and Eva Zangerle: Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. In Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022, pages 884-890. ISMIR, 2022

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Benjamin Murauer: Universal Grammar Features for Cross-Language Authorship Attribution. PhD thesis, University of Innsbruck, Department of Computer Science, 2022.

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Eva Zangerle, Christine Bauer and Alan Said: Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022, co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022). Vol. 3228. CEUR-WS.org, 2022

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Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle and Markus Schedl: Music4All-Onion - A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pages 4339–4343. Association for Computing Machinery, 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 and Eva Zangerle: Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection.

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Eva Zangerle, Christine Bauer and Alan Said: Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). In Proceedings of the 16th ACM Conference on Recommender Systems, pages 652–653. Association for Computing Machinery, 2022

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

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Eva Zangerle, Maximilian Mayerl, Martin Potthast and Benno Stein: Overview of the Style Change Detection Task at PAN 2022. In Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, vol. 3180, pages 2344-2356. CEUR-WS.org, 2022

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Michael Vötter, Maximilian Mayerl, Günther Specht and Eva Zangerle: HSP Datasets: Insights on Song Popularity Prediction. In International Journal of Semantic Computing, pages 1-23. 2022 Publisher: World Scientific Publishing Co.

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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 and Eva Zangerle: Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection. In Advances in Information Retrieval. ECIR 2022., pages 331-338. Springer International Publishing, 2022