Evaluating recommender systems: survey and framework
E Zangerle, C Bauer - ACM Computing Surveys, 2022 - dl.acm.org
The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …
endeavor: many facets need to be considered in configuring an adequate and effective …
Fairness in music recommender systems: A stakeholder-centered mini review
K Dinnissen, C Bauer - Frontiers in big Data, 2022 - frontiersin.org
The performance of recommender systems highly impacts both music streaming platform
users and the artists providing music. As fairness is a fundamental value of human life, there …
users and the artists providing music. As fairness is a fundamental value of human life, there …
Analyzing item popularity bias of music recommender systems: are different genders equally affected?
Several studies have identified discrepancies between the popularity of items in user
profiles and the corresponding recommendation lists. Such behavior, which concerns a …
profiles and the corresponding recommendation lists. Such behavior, which concerns a …
LFM-2b: A dataset of enriched music listening events for recommender systems research and fairness analysis
We present the LFM-2b dataset containing the listening records of over 120,000 users of the
music platform Last. fm. These users provide a total of more than two billion individual …
music platform Last. fm. These users provide a total of more than two billion individual …
Amplifying artists' voices: Item provider perspectives on influence and fairness of music streaming platforms
K Dinnissen, C Bauer - Proceedings of the 31st ACM Conference on …, 2023 - dl.acm.org
The majority of music consumption nowadays takes place on music streaming platforms.
Whichever artists, albums, or songs are exposed to consumers on these platforms therefore …
Whichever artists, albums, or songs are exposed to consumers on these platforms therefore …
Calibrated recommendations as a minimum-cost flow problem
H Abdollahpouri, Z Nazari, A Gain, C Gibson… - Proceedings of the …, 2023 - dl.acm.org
Calibration in recommender systems has recently gained significant attention. In the
recommended list of items, calibration ensures that the various (past) areas of interest of a …
recommended list of items, calibration ensures that the various (past) areas of interest of a …
Popularity bias in collaborative filtering-based multimedia recommender systems
Multimedia recommender systems suggest media items, eg, songs,(digital) books and
movies, to users by utilizing concepts of traditional recommender systems such as …
movies, to users by utilizing concepts of traditional recommender systems such as …
A study on accuracy, miscalibration, and popularity bias in recommendations
Recent research has suggested different metrics to measure the inconsistency of
recommendation performance, including the accuracy difference between user groups …
recommendation performance, including the accuracy difference between user groups …
Perceptions of the 'mainstream'and the mainstreaming of the far right: from Ed Sheeran to Keir Starmer
K Brown - Journal of Political Ideologies, 2024 - Taylor & Francis
While people use the term 'mainstream'on a regular basis, there has been relatively little
discussion about what it actually means. Within far-right studies, attempts to define the …
discussion about what it actually means. Within far-right studies, attempts to define the …
Novel datasets for evaluating song popularity prediction tasks
Estimating the success of a song before its release is an important music industry task.
Current work uses audio descriptors to predict the success (popularity) of a song, where …
Current work uses audio descriptors to predict the success (popularity) of a song, where …