Recommendation Performance Analysis
Monitor video diversity, detect repetitive patterns, and analyze recommendation quality
👥
0
Users with Recommendations
Out of 0 total users
🎬
0
Unique Videos Recommended
Out of 0 total videos
📊
0%
Diversity Score
Higher is better (target: >60%)
🔍 Cross-Run Freshness Analysis
Tracks if users see fresh content each run (never recommended before) vs repeated videos (recommended in previous runs)
✨
Cross-Run Freshness
0%
% of videos NOT previously recommended (across all past runs)
🔁
High Cross-Run Repetition
0
Users seeing <50% fresh content (mostly re-recommended videos from past runs)
📊 Within-Run Uniqueness Analysis
Tracks duplicate videos within each user's CURRENT recommendation set (same run). Should be close to 100%.
vs Total Slots (Current Run)
0
Loading...
🌍 Cross-User Video Popularity (Viral Tracking)
Shows which videos appear most frequently across ALL users' recommendations
Top 20 Most Recommended Videos
📦 Content Source Distribution
Shows where recommendations come from across all users.
Personalized
Based on user behavior
0%
Editor's Picks
Curated high-quality content
0%
Fresh Discovery
New & low-view content
0%
🎯 Diversity by Engagement Level
New users get curated editor's picks (expected low diversity), while established users get highly personalized content.
New Users (<5 interactions)
0 users
0%
Growing Users (5-24 interactions)
0 users
0%
Established Users (25+ interactions)
0 users
0%
⚠️ Issues Detected
❌
0
Active Users Without Recommendations
Users active in last 7 days but no recommendations
⏳
0
Stale Recommendations
Updated more than 48 hours ago
🔁
0
Users with Low Diversity
Less than 50% unique videos in their recommendations
📋 Recent Recommendation Generations
| Timestamp |
User ID |
Engagement |
Recommendations |
Freshness |
Personalized Ratio |
| Loading... |