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.




New Project: Digitization and Visualization of Archives and Collections

Together with Univ.-Prof. Dr. Theo Hug (Department of Media, Society and Communication), Eva will be leading the project "Digitization and Visualization of Archives and Collections" that aims for developint and applying concepts, methods and visual tools for the interactive presentation and analyses of archivals. The project is generously funded by the Region of Tyrol (Leuchtturmprojekt). 

The project builds on new possibilities of the development of generic interfaces and the visual exploration of archives and collections and combines them with regard to a modular set of open source software for visual presentation and examination of archival documents. The development and application of the concepts, methods and tools takes place prototypically on the example of the radical constructivism and the Ernst von Glasersfeld Archive, on the other hand, the modular tool set can generally be used in memory institutions in the cultural field (GLAM).


It's a busy week for DBIS. Eva is presenting her work on Culture-aware Music Recommender Systems at the User Modeling and Personalization Conference (UMAP) in Singapore. She is also the co-organizer of the IUADaptMe workshop at UMAP, which was successfully held on Sunday. At the same time, Martin is presenting Carl: A Sports Award Recommender at the eCom workshop at the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)  in Ann Arbour, US.

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.