26 lines
937 B
Markdown
26 lines
937 B
Markdown
# Music Discovery Pipeline
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Use listening history and taste signals to discover new artists and tracks that match your profile without repeating obvious recommendations.
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## Problem
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Streaming recommendations often circle familiar content, limiting genuine discovery.
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## Core capabilities
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- Ingest listening history from Last.fm or Spotify.
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- Build a taste profile from genres, eras, and track features.
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- Recommend similar but unexplored artists with confidence score.
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- Generate themed playlists for focus, workouts, or relaxed sessions.
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## MVP scope
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- Import history from one service.
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- Weekly discovery list with skip/save feedback loop.
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- Playlist export to chosen music platform.
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## Success criteria
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- Increased number of newly liked artists per month.
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- Better diversity in listening patterns.
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## Stretch ideas
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- Event-aware recommendations based on nearby concerts.
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- Cross-language discovery with translation-aware metadata.
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