Home of Data - Databases and Information Systems

We are a subdivision of the Department of Computer Science at the University of Innsbruck.


Our passion lies in developing innovative methods for efficient data storage and analyses aiming to assist users and businesses to meet their information needs.




Welcome Mike!

We welcome our newest team member Mike, who started working for DBIS this week. He will effectively be succeeding Martin, who finished his Ph.D. last month.

Mike has written his Master thesis at DBIS, in which he explored the possibilities to use autoencoders for next-track music recommendations.

Manuscript accepted at IEEE Journal of Affective Computing

Together with cooperation partners from Taiwan, Eva has looked into how information about the user's current mood can be used to improve the ranking of musical tracks in a recommendation scenario. The resulting paper has just been accepted at the IEEE Journal of Affective Computing and is already published in an online first version. You can find a local copy of the work here.

Publication details: 

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 (online first).


Today, Robert Binna will present our paper "HOT: A Height Optimized Trie Index for Main-Memory Database Systems" at this year's SIGMOD/PODS Conference. The developed main-memory index structure (called HOT) was joint work of Robert Binna, Eva Zangerle, Martin Pichl and Günther Specht together with Viktor Leis from the Technical University of Munich. The SIGMOD conference is one of the two major database conference (core ranking A*) and we are very proud to be part of this year's conference :)

You can find the paper here or in the official ACM SIGMOD proceedings.

Paper accepted at 15th Sound and Music Computing Conference

Our paper "#nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems", co-authored by Asmita Poddar (National Institute of Technology, Rourkela, India), Eva Zangerle (DBIS) and Yi-Hsuan Yang (Research Center for IT Innovation, Academia Sinica, Taiwan) has been accepted at this year's Sound and Music Computing Conference.

DBIS featured in Datenbank-Spektrum

Our research group is featured in the current issue of the Datenbank-Spektrum journal, which is the central outlet of the Fachgruppe Datenbanksysteme (working group for databases) of the German Informatics Society (GI). In this article, we present a short retrospective of the group's history and, more importantly, briefly present our research activities and accomplishments. You can find the article here.

DBIS@The Web Conference

It's a busy week for DBIS - Eva and Benjamin are presenting their work at The Web Conference in Lyon, France. 

Eva is presenting her paper "Recommendation-Assisted Data Curation for Wikidata" together with Claudia Müller-Birn of Freie Universität Berlin at the Wikipedia Workshop. Benjamin is presenting his paper "Detecting Music Genre Using Extreme Gradient Boosting" at the Challenges track, participating in the WWW 2018 Challenge: Learning to Recognize Musical Genre.

Paper and Poster @CICLing

Segmentation of Job AdsDBIS is represented twice on the 19th CICLing conference in Hanoi, Vietnam. On March 19th, Benjamin presented his paper "On the Influence of Machine Translation on Language Origin Obfuscation", which explains how the original language of translated documents can be detected. Later that day, Michaels work "Algorithmic Segmentation of Job Ads Using Textual Analysis" was presented as part of the poster session, yielding interesting discussions from many different fields.

Two papers accepted at CICLing 2018

Two DBIS papers were accepted at the International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2018, a well-known and established conference in the field of natural language processing. Benjamin evaluated the automatic detection of the origin of a machine translated text, and Michael proposed a new algorithm to automatically segment job ads. Both papers will be presented at the conference at the end of this month in Hanoi, Vietnam and will be published in a Springer LNCS volume.

Invited Talk at TU Vienna

Last week, Eva held an invited talk about "Evaluating the Users’ Experience: A Call for Utilizing Multi-Method Evaluations for Recommender Systems" at the Technical University (TU) Vienna, where she discussed how user-centric evaluations of recommender systems could be improved utilizing multiple perspectives. You can find the abstract of the talk on the news page of TU Vienna.

Full paper accepted at SIGMOD 2018

Our paper "HOT: A Height Optimized Trie Index for Main-Memory Database Systems" was accepted at the 2018 ACM SIGMOD/PODS International Conference on Management of Data. The paper was co-authored by Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht (all DBIS) and Viktor Leis from the Technical University Munich. The SIGMOD conference is among the most reknown and important venues in the field of core database systems (core ranking A*) and naturally, we are very happy about this huge success :)

Happy Holidays

The DBIS team wishes merry christmas, happy holidays and all the best to you in the year to come :)

DBIS@THE IEEE Symposium on Multimedia

At the moment, the 19 IEEE Symposium on Multimedia takes place in Taichung, Taiwan. Yesterday, Martin held a talk about the joint research between the University of Innsbruck and the Johannes Kepler University: He presented the paper "Mining Culture-Specific Music Listening Behavior from Social Media Data" by Martin Pichl, Eva Zangerle, Grünther Specht and Markus Schedl. The paper was also presented in the poster session in the evening, triggering an interesting discussion with other researchers.