Christine Bauer
Christine Bauer
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Paper-Conference
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
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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
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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
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Project
Slides
DOI
ACM Author-izer
CORE 2023: C
Best Paper Award
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
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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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Slides
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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Project
DOI
ACM Author-izer
Introducing surprise and opposition by design in recommender systems
There is a long tradition in recommender systems research to evaluate systems using quantitative performance measures on fixed …
Christine Bauer
,
Markus Schedl
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Project
Slides
DOI
ACM Author-izer
Music recommender systems: challenges and opportunities for non-superstar artists
Music Recommender Systems (MRS) are important drivers in music industry and are widely adopted by music platforms. Other than most MRS …
Christine Bauer
,
Marta Kholodylo
,
Christine Strauss
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Project
DOI
Taking responsibility for online self-disclosure: the thin line between a company's user orientation and user surveillance
Companies using the Internet for their business to consumers (business-to-consumer; B2C) frequently require users to disclose personal …
Christine Bauer
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The dark side of Web 2.0: from self-marketing to self-destruction of music artists
Web 2.0 and social media have triggered radical changes in the very fundament of music business. In times before the Internet era, the …
Christine Bauer
,
Christine Strauss
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