Kuaishou OGR Achieves End-to-End Generative Slate Recommendation
_reachsumit · x · 2026-08-19
Kuaishou releases OGR, an end-to-end generative slate recommendation framework using Unified Semantic-Collaborative IDs. Instead of retrieving then ranking, OGR directly generates ordered slates by fusing semantic and collaborative signals via TUSID and using list-wise planning. Offline experiments show 48.2% and 27.2% relative NDCG@5 gains on industrial and public datasets.
More from Research
- Awesome AI4AI: A Living, Weekly-Updated Map of AI Improving AI — No-Strawberry-2588 · 2026-08-19
- GLM-5.3 gains driven by post-training, not base model — teortaxesTex · 2026-08-19
- Chemist defends Claude's binder design: you've never actually run comp-chem software — chaitjo · 2026-08-19
- Why humanoids keep crashing into barriers: onboard vision can't keep up with sprinting legs — 2C_ornot2C · 2026-08-19
- Why LLMs can't make your code simpler, per Naur's "Programming as Theory Building" — math_rachel · 2026-08-19
- Z.ai's GLM-5.3 Essay: Scaling Law Has More Dials Than Parameter Count — pmttyji · 2026-08-19