Text2Playlist: Generating Personalized Playlists from Text on Deezer
Mathieu Delcluze, Antoine Khoury, Cl\'emence Vast, Valerio Arnaudo,, L\'ea Briand, Walid Bendada, and Thomas Bouab\c{c}a

TL;DR
Text2Playlist is a scalable AI-powered tool that creates personalized playlists from text queries, enhancing user experience beyond traditional search methods on music streaming platforms.
Contribution
It introduces a novel system combining generative AI, music retrieval, and recommendation techniques to generate personalized playlists directly from text inputs.
Findings
Successfully deployed at scale on Deezer
Generates query-specific personalized playlists
Improves user navigation and listening experience
Abstract
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.
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Taxonomy
TopicsAdvanced Text Analysis Techniques · Video Analysis and Summarization · Multimedia Communication and Technology
Methodstravel james
