This repository focuses on building Hybrid Recommendation Systems to enhance personalized product suggestions in eCommerce. Traditional methods like Collaborative Filtering (based on user behavior) and Content-Based Filtering (based on product attributes) have their limitations when used alone. Hybrid systems combine both approaches
active 2024-11-16 → 2024-11-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-11-16 to 2024-11-16. Pushes: 7 total, peak 7 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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 |
|---|---|---|---|---|
| Chemini-Gamage | 10 | 7 | 3 | 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 — 0 stars here means stars gained during the window, not the repo's star count.