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

2010

Bib Link Download

Wolfgang Gassler, Eva Zangerle, Michael Tschuggnall and Günther Specht: SnoopyDB: Narrowing the Gap between Structured and Unstructured Information using Recommendations. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT 2010), Toronto, Ontario, Canada, June 13-16, 2010, pages 271-272, 2010.

Bib Link Download

Wolfgang Gassler and Eva Zangerle: Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems. In Proceedings of the 22nd Workshop Grundlagen von Datenbanken (GvDB 2010), Bad Helmstedt, Germany. CEUR-WS.org, 2010.

Bib Link Download

Robert Binna, Wolfgang Gassler, Eva Zangerle, Dominic Pacher and Günther Specht: SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying. In Proceedings of the 1st International Workshop on Semantic Data Management (SemData) at the 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore. CEUR-WS.org, 2010.

Bib Link Download

Eva Zangerle, Wolfgang Gassler and Günther Specht: Recommending Structure in Collaborative Semistructured Information Systems. In Proceedings of the third ACM Conference on Recommender Systems (RecSys 2010), pages 141-145. ACM, 2010.