RE
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
2.1k 267 +2/wk
GitHub
calibration causal-inference cold-start contrastive-learning debias distillation diverse fairness feedback-delay look-alike match multi-modal
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tangxyw/RecSysPapers has +2 stars this period . 7-day velocity: 0.1%.
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| Metric | RecSysPapers | zeroboot | Python | crnn |
|---|---|---|---|---|
| Stars | 2.1k | 2.1k | 2.1k | 2.1k |
| Forks | 267 | 94 | 910 | 550 |
| Weekly Growth | +2 | +9 | +1 | +0 |
| Language | Python | Rust | Jupyter Notebook | Lua |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | Apache-2.0 | N/A | MIT |
Capability Radar vs zeroboot
RecSysPapers
zeroboot
Maintenance Activity 95
Last code push 15 days ago.
Community Engagement 63
Fork-to-star ratio: 12.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 46
+2 stars this period — 0.09% growth rate.
License Clarity 95
Licensed under BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.