Spotify’s is giving you the keys to its recommendation algorithm with US launch of ‘Taste Profile’
Spotify has launched its 'Taste Profile' feature for US Premium subscribers, allowing users to view and adjust how the platform understands their audio preferences. The AI-powered tool enables listeners to use natural language commands to fine-tune recommendations for music, podcasts, and audiobooks. This update aims to address common issues with algorithmic suggestions, such as excessive similarity or unwanted content, by giving users direct control over their listening experience.
- ▪Spotify began rolling out the Taste Profile feature to US Premium subscribers on Wednesday.
- ▪The feature allows users to modify their recommendation algorithm using natural language commands.
- ▪Taste Profile influences suggestions across the Home feed, Discover Weekly, and Spotify Wrapped.
- ▪The tool helps users remove specific influences like sleep sounds or children's music from their recommendations.
- ▪The feature is currently in beta and was previously tested in New Zealand before its US launch.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/23/spotify-is-giving-you-the-keys-to-its-recommendation-algorithm-with-u-s-launch-of-taste-profile/ |
| Publication time | Wed, 23 Sep 2026 13:00:00 +0000 |
| Retrieval time | 2026-09-23T13:04:31.506Z |
| Last seen | 2026-09-23T13:04:31.506Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MCCEINekFRL3 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Spotify is giving listeners a new tool to shape the recommendations it delivers to their app’s Home feed. The music streaming giant on Wednesday began rolling out a feature called “Taste Profile” to its Premium subscribers in the U.S. that allows users to see, for the first time, how Spotify understands their taste across music and other audio. Users can request changes using natural language commands to fine-tune their recommendations, or make broader changes. Powered by Spotify’s AI, Taste Profile was first unveiled in March at the SXSW conference in Austin by Spotify co-CEO Gustav Söderström. However, the feature was initially available in beta only to listeners based in New Zealand.
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