Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

• GEARS reframes ranking optimization as autonomous discovery in programmable experimentation. • Uses Specialized Agent Skills to embed ranking expert knowledge into reusable reaso

Research & Labs · February 24, 2026 (updated February 24, 2026) · 1 min · 174 words
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

• Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment Unifying Ranking and Generation in Query Auto-Completion

How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy

• Etsy serves 100M+ listings, using recommendation modules to guide buyers at every shopping stage. • Each module follows a two‑phase pipeline: fast candidate selection then ML‑bas

Engineering Blogs · April 18, 2023 (updated February 24, 2026) · 3 min · 628 words