# Text2Playlist: Generating Personalized Playlists from Text on Deezer

arXiv: https://arxiv.org/abs/2501.05894 · HTML: https://mlsanity.com/paper/2501.05894/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Jan 2025.

## Built on by (most cited first, 3 of 3)

- [Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting](https://mlsanity.com/paper/2508.20401/) (2025)
- [Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation](https://mlsanity.com/paper/2511.16478/) (2025)
- [Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries](https://mlsanity.com/paper/2602.12301/) (2026)

## Abstract (arXiv)

The streaming service Deezer heavily relies on the search to help users navigate through its extensive music catalog. Nonetheless, it is primarily designed to find specific items and does not lead directly to a smooth listening experience. We present Text2Playlist, a stand-alone tool that addresses these limitations. Text2Playlist leverages generative AI, music information retrieval and recommendation systems to generate query-specific and personalized playlists, successfully deployed at scale.