Music Playlist Captioning at Scale with Large Language Models
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Abstract (arXiv)
Music streaming services such as Deezer often recommend personalized playlists to users. Playlist captioning, which involves describing these playlists in natural language, is essential for helping users understand the content behind each recommendation, yet remains challenging at scale. This paper presents the automatic playlist captioning system deployed on Deezer in 2025 to address this challenge. Leveraging recent advances in large language models (LLMs) to generate descriptive captions from diverse data sources in a controlled manner, this system now powers the Daily Mix feature, used by millions of users. This deployment has led to significant improvements in user engagement, highlighting how the semantic framing of an unchanged recommendation shapes user perception in online personalized experiences.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 25 of its 35 references that are in the map. First posted on arXiv 21 Jun 2026.
Builds on
25 of 35 references.
References · 25
- 2023GPT-4 Technical Reportcited by 18,396
- 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,796
- 2024From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judgecited by 494
- 2023A Survey on Large Language Models for Recommendationcited by 379
- 2023Recommender Systems in the Era of Large Language Models (LLMs)cited by 189
- 2023How Can Recommender Systems Benefit from Large Language Models: A Surveycited by 142
- 2023LP-MusicCaps: LLM-Based Pseudo Music Captioningcited by 83
- 2023Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioningcited by 77
- 2023MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Responsecited by 45
- 2017Current Challenges and Visions in Music Recommender Systems Researchcited by 42
- 2020Carousel Personalization in Music Streaming Apps with Contextual Banditscited by 26
- 2021A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Appscited by 21
13 more
- 2021Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoderscited by 12
- 2022Flow Moods: Recommending Music by Moods on Deezercited by 11
- 2016Towards Music Captioning: Generating Music Playlist Descriptionscited by 7
- 2023A Scalable Framework for Automatic Playlist Continuation on Music Streaming Servicescited by 7
- 2023Track Mix Generation on Music Streaming Services using Transformerscited by 6
- 2020Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotationcited by 5
- 2021Music Playlist Title Generation: A Machine-Translation Approachcited by 5
- 2024Let's Get It Started: Fostering the Discoverability of New Releases on Deezercited by 5
- 2018Audio Based Disambiguation Of Music Genre Tagscited by 4
- 2023Music Playlist Title Generation Using Artist Informationcited by 2
- 2026Rethinking Music Captioning with Music Metadata LLMscited by 2
- 2026IDProxy: CTR Prediction with Multimodal LLMs for Cold-Start Recommendation at Xiaohongshucited by 2
- 2025Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluationcited by 1
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Citing papers per year: 2026: 1.
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