AWS Machine Learning Blog· James Kim·· 7 h ago
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
AI summary
Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and using SHAP to turn each decision into prioritized, actionable recommendations for selling partners.
Selection record
Threshold 60Official, first-handFirst 31Second 31
Not admittedSum of both 62 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：VLM、OCR与CatBoost融合评估内容质量
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com