Paper-Conference

UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome & Organization
Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart Knijnenburg
PDF Cite Project DOI ACM Author-izer CORE 2023: B GGS 2021: B
The effects of real-world events on music listening behavior: an intervention time series analysis
We approach the research question whether real-world events, such as sport events or product launches, influence music consumption …
Markus Schedl, Eelco Wiechert, Christine Bauer
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Information imbalance and responsibility in recommender systems
In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music …
Christine Bauer, Eva Zangerle
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An open model for researching the role of culture in online self-disclosure
The analysis of consumers’ personal information (PI) is a significant source to learn about consumers. In online settings, many …
Christine Bauer, Katharina Sophie Schmid, Christine Strauss
PDF Cite Slides DOI VHB 2024: B GGS 2021: A nominated for Best Paper Award
On the importance of considering country-specific aspects on the online-market: an example of music recommendation considering country-specific mainstream
In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music …
Christine Bauer, Markus Schedl
PDF Cite Project Slides DOI VHB 2024: B GGS 2021: A
What do we really talk about when we talk about context in pervasive computing: a review and exploratory analysis
At the heart of ubiquitous and pervasive computing is the integration of semantically rich contextual information into systems that …
Alexander Novotny, Christine Bauer
Cite DOI ACM Author-izer Postprint CORE 2023: C
Introducing global and regional mainstreaminess for improving personalized music recommendation
The music mainstreaminess of a user reflects how strong a user’s listening preferences correspond to those of the larger …
Markus Schedl, Christine Bauer
PDF Cite Project Slides DOI ACM Author-izer CORE 2023: C Best Paper Award
Introducing global and regional mainstreaminess for improving personalized music recommendation
A location-based educational game for understanding the traveling salesman problem: a case study
Due to the high potential of digital media to support learning processes and outcomes, educational games have gained wide acceptance …
Simone Kriglstein, Mario Brandmüller, Margit Pohl, Christine Bauer
Cite Poster DOI ACM Author-izer Postprint CORE 2023: B GGS 2021: A-
Online music listening culture of kids and adolescents: listening analysis and music recommendation tailored to the young
In this paper, we analyze a large dataset of user-generated music listening events from Last.fm, focusing on users aged 6 to 18 years. …
Markus Schedl, Christine Bauer
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Distance- and rank-based music mainstreaminess measurement
A music listener’s mainstreaminess indicates the extent to which her listening preferences correspond to those of the population …
Markus Schedl, Christine Bauer
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