Eva Zangerle

Dr. Eva Zangerle

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

Eva Zangerle is a postdoctoral researcher at the University of Innsbruck at the research group for Databases and Information Systems (Department of Computer Science). She earned her master's degree in Computer Science at the University of Innsbruck and subsequently pursued her PhD from the University of Innsbruck in the field of recommender systems for collaborative social media platforms. Her main research interests are within the fields of social media analysis, recommender systems and information retrieval. Over the last years, she has combined these three fields of research and investigated music recommender systems based on data retrieved from social media platforms aiming to exploit new sources of information for recommender systems. She was awarded a Postdoctoral Fellowship for Overseas Researchers from the Japan Society for the Promotion of Science allowing her to make a short-term research stay at the Ritsumeikan University in Kyoto. Eva Zangerle teaches at the University of Innsbruck, Austria and at the University of Applied Sciences in Salzburg, Austria. 

Publications

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: A Sports Award Recommender. In Proceedings of the 2018 SIGIR Workshop On eCommerce. 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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Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai and Yi-Hsuan Yang: Leveraging Affective Hashtags for Ranking Music Recommendations. In IEEE Transactions on Affective Computing. 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

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

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Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl and Günther Specht: Hierarchical Multilabel Classification and Voting for Genre Classification. In CEURS Working Notes Proceedings of the MediaEval 2017 Workshop. CEUR-WS.org, 2017

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Bettina Larl and Eva Zangerle: Geolocating German on Twitter Hitches and Glitches of Building and Exploring a Twitter Corpus. In Proceedings of the 9th International Corpus Linguistics Conference (cl 2017), July 24-28, University of Birmingham, 2017

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Martin Pichl, Eva Zangerle and Günther Specht: Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach. In Proceedings of the 2017 ACM International Conference on Multimedia Retrieval (ICMR 2017), pages 201-208. ACM, 2017

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Benjamin Murauer, Eva Zangerle, and Günther Specht: A Peer-Based Approach on Analyzing Hacked Twitter Accounts. In Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS 2017), Big Island, Hawaii, USA, January 4-7, 2017, pages 1841-1850. IEEE, 2017.