Prakashpsk/Intelligent-Shopping-Recommender-System-Boosting-Engagement-and-Sales-in-E-Commerce-
View on GitHub ↗Related repositories →🛒🧠 Build an intelligent shopping recommender system to enhance customer satisfaction and drive sales in e-commerce. 🎯 Leverage collaborative filtering, content-based filtering, and hybrid models for personalized product recommendations. 🚀 Improve user experience, increase engagement, and boost business growth with tailored shopping suggestions.
active 2024-04-16 → 2024-05-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 23 days from 2024-04-16 to 2024-05-08. Pushes: 5 total, peak 3 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
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- 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 |
|---|---|---|---|---|
| Prakashpsk | 5 | 5 | 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.