westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Paper List of Pre-trained Foundation Recommender Models
369
Stars
27
Forks
33.5
Radar Score
Declining
Momentum
Scoring Breakdown
Impact53.0
Velocity15.0
Health28.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—
Why it ranks
Momentum is cooling relative to the rest of the index.
Top 75% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
58%
Mixed Signals
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
33.5
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 369 stars (0.0%).
- Maintenance cadence: Last push 822 days ago.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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