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

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). 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.

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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

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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.