基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。
active 2023-09-28 → 2025-03-16 (UTC)
Complete coverage28,184 / 28,184 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-01 (UTC)
Events
25
Pushes
0
Pull requests
1
Issues
1
Stars
20
Forks
1
Activity over time
Daily event counts in the loaded window
Line chart, 536 days from 2023-09-28 to 2025-03-16. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 20 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| cathylogs | 1 | 0 | 0 | 0 |
| Simon-2017 | 1 | 0 | 0 | 1 |
| dependabot[bot] | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 20 stars here means stars gained during the window, not the repo's star count.