mlsanityData to 7 Oct 2026

Track Mix Generation on Music Streaming Services using Transformers

arXiv 2307.03045 ↗First posted 6 Jul 2023cs.IR cs.LG cs.SDcited by 6

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Abstract (arXiv)

This paper introduces Track Mix, a personalized playlist generation system released in 2022 on the music streaming service Deezer. Track Mix automatically generates "mix" playlists inspired by initial music tracks, allowing users to discover music similar to their favorite content. To generate these mixes, we consider a Transformer model trained on millions of track sequences from user playlists. In light of the growing popularity of Transformers in recent years, we analyze the advantages, drawbacks, and technical challenges of using such a model for mix generation on the service, compared to a more traditional collaborative filtering approach. Since its release, Track Mix has been generating playlists for millions of users daily, enhancing their music discovery experience on Deezer.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 15 of its 23 references that are in the map. First posted on arXiv 6 Jul 2023.

Builds on

15 of 23 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
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3 more
  1. 2022Flow Moods: Recommending Music by Moods on Deezercited by 11
  2. 2018An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuationcited by 9
  3. 2023A Scalable Framework for Automatic Playlist Continuation on Music Streaming Servicescited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 1; 2026: 2.

6 papers.

  1. 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlistscited by 7
  2. 2024Let's Get It Started: Fostering the Discoverability of New Releases on Deezercited by 5
  3. 2025Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Samplingcited by 3
  4. 2024Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Datacited by 2
  5. 2026Music Playlist Captioning at Scale with Large Language Modelscited by 1
  6. 2026Privacy in Personalized AI Is a System Property, Not Just a Model Propertycited by 0