Surveying More Than Two Decades of Music Information Retrieval Research on Playlists
G Gabbolini, D Bridge - ACM Transactions on Intelligent Systems and …, 2024 - dl.acm.org
In this article, we present an extensive survey of music information retrieval (MIR) research
into music playlists. Our survey spans more than 20 years, and includes around 300 papers …
into music playlists. Our survey spans more than 20 years, and includes around 300 papers …
Diffusion Model for Slate Recommendation
Slate recommendation is a technique commonly used on streaming platforms and e-
commerce sites to present multiple items together. A significant challenge with slate …
commerce sites to present multiple items together. A significant challenge with slate …
A simulation-based digital twin for data-driven maintenance scheduling of risk-prone production lines via actor critics
Industry 4.0 mandates a shift from traditional total productive maintenance (TPM) methods,
which rely on periodic data gathering and subsequent offline modeling for maintenance …
which rely on periodic data gathering and subsequent offline modeling for maintenance …
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
J Baumann, C Mendler-Dünner - arXiv preprint arXiv:2404.04269, 2024 - arxiv.org
We investigate algorithmic collective action in transformer-based recommender systems.
Our use case is a collective of fans aiming to promote the visibility of an artist by strategically …
Our use case is a collective of fans aiming to promote the visibility of an artist by strategically …
Biases, Fairness, and Non-discrimination
This chapter reviews existing regulations on discrimination, provides a multifaceted
categorization of biases and fairness criteria, discusses techniques to measure popularity …
categorization of biases and fairness criteria, discusses techniques to measure popularity …
Privacy and Security
This chapter outlines potential privacy and security risks inherent in IRRSs. It explores how
personal data and models can be protected and discusses relevant regulations and …
personal data and models can be protected and discusses relevant regulations and …
Regulatory Initiatives
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Account Menu Find a journal Publish with us Track your research Search Cart 1.Home …
Account Menu Find a journal Publish with us Track your research Search Cart 1.Home …
Transparency
This chapter discusses recent regulatory and ethical aspects of transparency, clarifies the
relevant terminology, and highlights the benefits, challenges, and barriers to transparency in …
relevant terminology, and highlights the benefits, challenges, and barriers to transparency in …
Leveraging Transformer Models for Genre Classification
AC Craus, B Berger, Y Hughes, H Horn - SMU Data Science Review - scholar.smu.edu
As the digital music landscape continues to expand, the need for effective methods to
understand and contextualize the diverse genres of lyrical content becomes increasingly …
understand and contextualize the diverse genres of lyrical content becomes increasingly …
vMF-exp: von Mises-Fisher Exploration of Large Action Sets with Hyperspherical Embeddings
This workshop paper is under review for presentation at an international conference. We
introduce von Mises-Fisher exploration (vMF-exp), a scalable method for exploring large …
introduce von Mises-Fisher exploration (vMF-exp), a scalable method for exploring large …