Analyze fallback behavior by user persona types

Classify users into personas:
- Highly active
- Recently joined
- Sparse interaction

Then, analyze:
- Which fallback strategies each group uses most
- Performance gaps between them

This helps optimize fallback weights and recommendation routing in future iterations.
