Agentic Learning System Insights
Monitor and analyze the self-learning system's performance and pattern recognition
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Learning Events
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Success Rate
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Confidence Accuracy
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Patterns Learned
Learning Performance
Verified Websites:
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Rejected Websites:
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Flagged for Review:
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Average Confidence:
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Learning Rate:
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Industry Knowledge
Spirits Brands:
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Wine Brands:
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Beer/Malt Brands:
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Industry Patterns:
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Domain Patterns:
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Learned Domain Patterns
Recent Learning Events
| Timestamp | Brand | Action | Domain | Confidence | Learning Impact |
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Knowledge Base Insights
Top Search Terms
False Positive Domains
Confidence Calibration
Batch Website Re-scoring
Apply all accumulated learning patterns to re-score existing website matches. This will:
- Update confidence scores based on learned domain patterns
- Detect category mismatches (e.g., vodka brands with wine domains)
- Flag websites that need review
- Apply learning improvements retroactively
Total Websites:
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Potential Category Mismatches:
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Learning Patterns Available:
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