# Music Discovery Pipeline

Use listening history and taste signals to discover new artists and tracks that match your profile without repeating obvious recommendations.

## Problem
Streaming recommendations often circle familiar content, limiting genuine discovery.

## Core capabilities
- Ingest listening history from Last.fm or Spotify.
- Build a taste profile from genres, eras, and track features.
- Recommend similar but unexplored artists with confidence score.
- Generate themed playlists for focus, workouts, or relaxed sessions.

## MVP scope
- Import history from one service.
- Weekly discovery list with skip/save feedback loop.
- Playlist export to chosen music platform.

## Success criteria
- Increased number of newly liked artists per month.
- Better diversity in listening patterns.

## Stretch ideas
- Event-aware recommendations based on nearby concerts.
- Cross-language discovery with translation-aware metadata.