Markdown source

Reconstructed Slides: Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon

Source Video

Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.98
• Text source: none.
• OCR decision: ready — dense diagram and small text across multiple callouts/screenshots

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.93
• Text source: none.
• OCR decision: ready — slide contains a dense screenshot plus a readable aside title

Hidden Non-Slide Evidence

• `slide-001.jpg` — sponsor_logo confidence 0.99; sponsor logo wall
• `slide-002.jpg` — title_card confidence 0.97; title card

Classification audit: raw/sources/slide-ai-classification/reconstructed/2vlCqD6igVA/audit.json