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imsheridan/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
1.0k 218 +0/wk
GitHub
computational-advertising deep-learning exploration-exploitation recommendation recommendation-system reinforcement-learning
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
imsheridan/DeepRec has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | DeepRec | rogue | ML-for-High-Schoolers | this-word-does-not-exist |
|---|---|---|---|---|
| Stars | 1.0k | 1.0k | 1.0k | 1.0k |
| Forks | 218 | 161 | 142 | 84 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | N/A | MIT |
Capability Radar vs rogue
DeepRec
rogue
Maintenance Activity 0
Last code push 810 days ago.
Community Engagement 100
Fork-to-star ratio: 21.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.