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

2016

Bib Link

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

Bib Link

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.

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Eva Zangerle, Georg Schmidhammer and Günther Specht: #Wikipedia on Twitter: Analyzing Tweets About Wikipedia. In Proceedings of the 11th International Symposium on Open Collaboration, pages 14:1-14:8. ACM, Apr 2015.

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Stefan Pröll, Eva Zangerle and Wolfgang Gassler: MySQL 5.6 - Das umfassende Handbuch. 3rd Edition. In Galileo Computing, 2015.

2014

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Martin Pichl, Eva Zangerle and Günther Specht: Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. In Proceedings of the 26nd Workshop Grundlagen von Datenbanken (GvDB 2014), Ritten, Italy, vol. 1313, pages 35-40. CEUR-WS.org, Oct. 2014.

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Eva Zangerle, Martin Pichl, Wolfgang Gassler and Günther Specht: #nowplaying Music Dataset: Extracting Listening Behavior from Twitter. In Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management (WISMM '14), pages 21-26. ACM, June 2014.

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Wolfgang Gassler, Eva Zangerle and Günther Specht: Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases. In Journal on Future Generation Computer Systems, vol. 31, pages 111-119. Elsevier Science Publishers, 2014.

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Eva Zangerle and Günther Specht: “Sorry, I was hacked"—A Classification of Compromised Twitter Accounts. In Proceedings of the 29th ACM Symposium on Applied Computing (SAC 2014), pages 587-593. ACM, Mar 2014.

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Eva Zangerle and Günther Specht: Cybercrime on Twitter: Shifting the User Back into Focus. In Proceedings of the WebScience Cybercrime / Cyberwar Workshop, co-located with WebSci14. , 2014.

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Eva Zangerle: Missbrauch und Betrug auf Twitter. In Datenflut und Informationskanäle, pages 167-176, Innsbruck University Press, 2014.

2013

Bib

Eva Zangerle : Exploiting Recommendations in Microblogging Environments. In Scientific Computing@uibk. Innsbruck University Press, 2013.

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Eva Zangerle, Wolfgang Gassler and Günther Specht: On the Impact of Text Similarity Functions on Hashtag Recommendations in Microblogging Environments. In Social Network Analysis and Mining, vol. 3, no. 4, pages 889-898. Springer Vienna, 2013.

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Eva Zangerle: Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms. PhD thesis, University of Innsbruck, Department of Computer Science, 2013.

2012

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Eva Zangerle, Wolfgang Gassler and Günther Specht: Exploiting Twitter's Collective Knowledge for Music Recommendations. In Proceedings of the 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages, Lyon, France, 16 April 2012 (in connection with the 21st International Conference on World Wide Web), pages 14-17. 2012

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Eva Zangerle and Wolfgang Gassler: Dealing with Structure Heterogeneity in Semantic Collaborative Environments. In Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources. IGI Publishers, Hershey, Pennsylvania (USA), 2012.