Eva Zangerle

Ass.-Prof. Dr. Eva Zangerle

Tel: +43 512 507 53236
Fax
+43 512 507 53059
Office
ICT building, 2nd floor, room 3W02
Consultation Hours

Eva is an assistant professor at the Department of Computer Science at the University of Innsbruck, Austria. Her primary scientific interests focus on (context-aware) recommender systems and user modeling aspects of music information retrieval tasks. She earned her Ph.D. from the University of Innsbruck in the field of recommender systems for collaborative social media platforms. During her postdoc, she did short-term research stays at Ritsumeikan University in Kyoto, Japan (funded by a Postdoctoral Fellowship for Overseas Researchers from the Japan Society for the Promotion of Science), Freie Universität Berlin, Germany (funded by the Global Faculty Program of Freie Universität) and Johannes-Kepler-Universität Linz, Austria.

Eva is also co-author of a book on MySQL (currently in it’s 3rd edition). For more information on the book, visit Rheinwerk Verlag (the publisher) or the book’s website .

Publications

2019

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Michael Vötter, Eva Zangerle, Maximilian Mayerl and Günther Specht: Autoencoders for Next-Track-Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 20-25. 2019

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Gerald Hiebel, Klaus Hanke, Claudia Posch, Gerhard Rampl, Elisabeth Gruber, Andrea Mussmann and Eva Zangerle: Zur Identifikation und Verortung von Bergnamen in alpiner Literatur. In 20. Internationale Geodätische Woche Obergurgl 2019, pages 91-100. VDE Verlag, 2019

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

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

2018

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

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Martin Pichl and Eva Zangerle: Latent Feature Combination for Multi-Context Music Recommendation. In 2018 International Conference on Content-Based Multimedia Indexing (CBMI), pages 1-6. 2018

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Eva Zangerle and Martin Pichl: Content-based User Models: Modeling the Many Faces of Musical Preference. In Proceedings of the 19th International Society for Music Information Retrieval Conference 2018 (ISMIR 2018), pages 709-716. 2018

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Martin Pichl, Bernward Pichl and Eva Zangerle: Carl: Sports Award Recommender. In The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018., vol. 2319. CEUR-WS.org, 2018

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

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Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle and Bart Knijnenburg: Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome and Organization. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018), pages 137-139. ACM, 2018

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Eva Zangerle, Martin Pichl and Markus Schedl: Culture-Aware Music Recommendation. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018), pages 357-358. ACM, 2018

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Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht and Viktor Leis: HOT: A Height Optimized Trie Index for Main-Memory Database Systems. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD 2018), pages 521-534. ACM, 2018

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Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger and Günther Specht: ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists. In Advances in Information Retrieval - 39th European Conference on IR Research (ECIR 2018), pages 584-590. Springer, 2018

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Eva Zangerle and Claudia Müller-Birn: Recommendation-Assisted Data Curation for Wikidata. In Wiki Workshop 2018 co-located with The Web Conference. 2018

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

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

2017

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

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Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger and Günther Specht: Analyzing Coherent Characteristics in Music Playlists. In Proceedings of the 4th Digital Humanities Austria Conference (dha 2017), Innsbruck, Austria 2017.

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Martin Pichl, Eva Zangerle, Günther Specht and Markus Schedl: Mining Culture-Specific Music Listening Behavior from Social Media Data. In Proceedings of the IEEE International Symposium on Multimedia (ISM 2017), Taichung, Taiwan, December 11-13, 2017, pages 208-215. IEEE Computer Society, 2017

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Adelheid Heftberger, Jakob Höper, Claudia Müller-Birn, Niels-Oliver Walkowski and Eva Zangerle: Employing Wikidata for Fostering Scholarly Research. WikiDataCon 2017, Berlin, available online at https://www.wikidata.org/wiki/Wikidata:WikidataCon_2017/Submissions/Employing_Wikidata_for_Fostering_Scholarly_Research