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
Publications
full list for printing2023
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
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
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.
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
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
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
Eva Zangerle: Recommender Systems for Music Retrieval Tasks. Habilitation Thesis, University of Innsbruck, 2022
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
Benjamin Murauer: Universal Grammar Features for Cross-Language Authorship Attribution. PhD thesis, University of Innsbruck, Department of Computer Science, 2022.
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
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
Janek Bevendorff et al.: Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings, vol. 13390, pages 382-394. Springer, 2022
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
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
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
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.
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
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht and Viktor Leis: Height Optimized Tries. In ACM Trans. Database Syst., vol. 47, no. 1. Association for Computing Machinery, 2022
Eva Zangerle, Christine Bauer and Alan Said: Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021. In SIGIR Forum, vol. 55, no. 2. Association for Computing Machinery, 2022
Benjamin Murauer and Günther Specht: DT-grams: Structured Dependency Grammar Stylometry for Cross-Language Authorship Attribution. In Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) . 2022
Manfred Moosleitner, Günther Specht and Eva Zangerle: Co-rating Attacks on Recommendation Algorithms. In Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21) . 2022
2021
Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht and Eva Zangerle: Recognizing Song Mood and Theme: Clustering-based Ensembles. In Working Notes Proceedings of the MediaEval 2021 Workshop. ceur-ws.org, 2021