# Archived Feature And Roadmap Reference

This document preserves the fuller capability and roadmap detail that used to sit directly inside the old public README.

## Implemented Music-Scene Strengths Listed In The Archived README

- Rich single-level sorting plus mixed multi-level sorting and filtering
- Deeper composite-tag processing for stronger music relationships
- Search-jump optimization
- Fuzzy search across title, album, artist, and lyrics
- Mixed matching for Chinese pinyin and simplified or traditional Chinese
- Recommended similar search results
- Multiple playback styles such as cover square, rotate, beaut, base, and album-list styles
- Exclusive playback modes for different music-file scenarios
- CUE-focused playback and CUE file-management flows
- Visualized virtual-track playback for CUE
- Broader TAG import support, including `m4a` and `cue`-related workflows
- Recommendation Phase 1 through tag cloud and interest-oriented suggestions
- Recommendation Phase 2 through lightweight recommendation logic based on user usage data

## Planned Music-Scene Directions Listed There

- Dual-page browsing with virtual-list and paged-list modes
- Uploading, downloading, and syncing files between server and client
- Visualized tag management with remote upload, auto-association, and manual merge flows
- Richer tag fields such as artist pictures, artist photos, album covers, quality versions, and lyrics versions
- ISO-focused playback and ISO file management
- More advanced sound effects, including multi-channel effects and multiple EQ modes
- Optional public-welfare online TAG APIs for user-driven synchronization
- Recommendation Phase 3 based on a music knowledge graph
- Recommendation Phase 4 combining the knowledge graph with LLM-based recommendation

## Broader Scenario Direction Listed There

The archived README also described NineSong as a broader multimedia and personal digital center direction spanning:

- Audio
- Video
- Image
- Text
- Document
- Archive
- Executable
- Database
- Streaming music and karaoke
- AI model deployment
- Intelligent gallery scenarios
- Film and television center scenarios
- Online notes
- Document workbench scenarios
- E-book reader scenarios
- Knowledge-graph recommendation
- Internationalization