Music Recommender

Analyze a user's NetEase Cloud Music playlist, profile their taste, and recommend songs with clickable Bilibili links (free, no membership required).

Workflow

Step 1 — Parse Playlist

Extract playlist ID from user's link. Supported formats:

• https://music.163.com/playlist?id=XXXXX
• https://music.163.com/#/playlist?id=XXXXX

Run the fetch script:

python3 {baseDir}/scripts/fetch_playlist.py <playlist_id> > /tmp/playlist_<id>.json

Output: JSON array of {name, artists, album} objects.

Step 2 — Analyze Taste

Read the JSON output. Profile the user's taste:

1. Top artists — count occurrences, identify top 10-20
2. Language mix — estimate Chinese/English/Japanese/Korean ratio from song titles