61 citations · 234 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
Context Adaptivity as Enabler for Meaningful Pervasive Advertising
Christine Bauer
Socio-demographic user profiles are currently regarded as the most convenient base for successful personalized advertising. However, signs point to the dormant power of context rec…
The Potential of the Confluence of Theoretical and Algorithmic Modeling in Music Recommendation
Christine Bauer
The task of a music recommender system is to predict what music item a particular user would like to listen to next. This position paper discusses the main challenges of the music…
Allowing for equal opportunities for artists in music recommendation
Christine Bauer
Promoting diversity in the music sector is widely discussed on the media. While the major problem may lie deep in our society, music information retrieval contributes to promoting…