Eva Zangerle

Assoc. Prof. Dr. Eva Zangerle

eva.zangerle [at] uibk.ac.at
Scientific Staff
Tel: +43 512 507 53236
Office
ICT building, 2nd floor, room 3W02
Consultation Hours
schedule meeting here

Eva is an associate professor at the Department of Computer Science at the University of Innsbruck, Austria. She was awarded the habilitation degree (venia docendi) in Computer Science in 2023 (title of thesis: "Recommender Systems for Music Retrieval Tasks"). In 2013, Eva earned her Ph.D. from the University of Innsbruck, focusing on recommender systems for collaborative social media platforms. She has expanded her research horizons by undertaking short-term research stays at Ritsumeikan University in Kyoto, Japan, Freie Universität Berlin, Germany, and Johannes Kepler University Linz, Austria.

Eva's primary scientific interests revolve around the field of recommender systems, particularly their evaluation and user modeling, particularly within the domain of music information retrieval. Eva has been honored with the Women in RecSys Best Journal Paper of the Year award in both 2022 and 2023. Eva is one of the organizers of the PERSPECTIVES workshop series "Perspectives on the Evaluation of Recommender Systems".

In addition to her scholarly endeavors, Eva is also a co-author of a book on MySQL, which is currently in its third edition. 

Publications

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

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Gerald Hiebel, Gerhard Rampl, Claudia Posch, Elisabeth Gruber and Eva Zangerle: Bergnamen – Bergwelten. Toponymie im (Kon-)Text. In Mainzer Namenstagung 2017: Toponyme - eine Standortbestimmung. 2017

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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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Gerald Hiebel, Claudia Posch, Gerhard Rampl and Eva Zangerle: Building Bridges - Corpus Linguistics and Digital Humanities. In 4th Digital Humanities Austria Conference - dha2017. Abstracts. Eigenverlag, Universität Innsbruck, 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.

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Martin Pichl, Eva Zangerle and Günther Specht: Understanding User-curated Playlists on Spotify: A Machine Learning Approach. In International Journal of Multimedia Data Engineering and Management (IJMDEM), vol. 8, no. 4. 2017

2016

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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 4th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora2016), Sep. 2016, Ljubljana, Slovenia.

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Eva Zangerle, Georg Schmidhammer and Günther Specht: Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links. In Proc. of 49th Hawaii International Conference on System Sciences (HICSS 2016), Kauai, Hawaii, USA, January 5-8, 2016, pages 1920-1929. IEEE, Jan. 2016.

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Eva Zangerle, Martin Illecker and Günther Specht: SentiStorm: Realtime Sentiment Detection of Tweets. In HMD Praxis der Wirtschaftsinformatik, vol. 53, no. 4, pages 514-529. Springer, 2016.

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Martin Pichl, Eva Zangerle and Günther Specht: Understanding Playlist Creation on Music Streaming Platforms. In Proceedings of the IEEE Symposium on Multimedia (ISM), pages 475-480. IEEE, 2016

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Eva Zangerle, Martin Pichl, Benedikt Hupfauf and Günther Specht: Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), New York City, United States, August 7-11, 2016, pages 365-371.

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Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser and Günther Specht: An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases. In Proceedings of the 12th International Symposium on Open Collaboration (OpenSym 2016), Berlin, Germany, August 17-19, 2016, pages 18:1-18:8. ACM, 2016.

2015

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Martin Pichl, Eva Zangerle and Günther Specht: Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?. In Proceedings of 15th IEEE International Conference on Data Mining Workshops (ICDM 2015), pages 1360-1365. IEEE, 2015.

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Martin Pichl, Eva Zangerle and Günther Specht: #nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations. In Current Trends in Web Engineering, 15th International Conference, ICWE 2015 Workshops (Revised Selected Papers), pages 163-174. Springer, 2015.