A movie recommender system suggests movies to users based on their preferences and history. It uses data analysis and algorithms to predict what movies a user might like. It's a blend of data processing, machine learning, and user interface design for personalized movie suggestions.
active 2023-08-15 → 2023-09-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 20 days from 2023-08-15 to 2023-09-03. Pushes: 16 total, peak 7 in a day. Pull requests: 0 total, peak 0 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 |
|---|---|---|---|---|
| oops-moment | 16 | 16 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.