61 citations · 130 across the 7 of their papers we have counts for
9 papers
A Stakeholder-Centered View on Fairness in Music Recommender Systems
Karlijn Dinnissen, Christine Bauer
Our narrative literature review acknowledges that, although there is an increasing interest in recommender system fairness in general, the music domain has received relatively litt…
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes
Markus Schedl, Christine Bauer, Wolfgang Reisinger +2
Music preferences are strongly shaped by the cultural and socio-economic background of the listener, which is reflected, to a considerable extent, in country-specific music listeni…
An Open Model for Researching the Role of Culture in Online Self-Disclosure
Christine Bauer, Katharina Sophie Schmid, Christine Strauss
The analysis of consumers' personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantly -- this is particul…
Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young
Markus Schedl, Christine Bauer
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. Our contribution is two-fold. First, we study…
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings
Christine Bauer, Eva Zangerle
In this paper, we focus on recommendation settings with multiple stakeholders with possibly varying goals and interests, and argue that a single evaluation method or measure is not…
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
Christine Bauer, Markus Schedl
Popularity-based approaches are widely adopted in music recommendation systems, both in industry and research. However, as the popularity distribution of music items typically is a…