RS
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
6.5k 1.4k +0/wk
GitHub
collaborative-filtering deep-learning deep-learning-based-rs read-papers recommender-system social-recommendation social-recommender survey
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hongleizhang/RSPapers has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | RSPapers | Informer2020 | Practical_RL | wav2letter |
|---|---|---|---|---|
| Stars | 6.5k | 6.5k | 6.5k | 6.4k |
| Forks | 1.4k | 1.3k | 1.8k | 996 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Python | Jupyter Notebook | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Unlicense | NOASSERTION |
Capability Radar vs Informer2020
RSPapers
Informer2020
Maintenance Activity 88
Last code push 28 days ago.
Community Engagement 100
Fork-to-star ratio: 20.9%. 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.