Kuaishou and Beihang Propose 'Recommendation-as-Generation' (RaG) Framework
jiqizhixin · x · 2026-07-06
Kuaishou Technology and Beihang University have proposed the 'Recommendation-as-Generation' (RaG) framework. Instead of matching users with existing videos, it uses shared semantic IDs that separate content from style to instantly generate new videos tailored to their interests. Already deployed across a user base of over 400 million DAU, online A/B testing showed an ad revenue increase of up to 1.87% compared to a strong production baseline, proving that on-demand personalized video generation can drive new value at an industrial scale.
More from Multimodal
- Techhalla shares full 2D-to-3D workflow with Opus 5.5 and Kling 4.0 prompts — techhalla · 2026-10-26
- Rebuilding real events as photoreal SF digital twins, filmed cinematically from a phone — bilawalsidhu · 2026-10-26
- How to turn Claude Code into a video editor: a full reel in 19 minutes — PrajwalTomar_ · 2026-10-26
- "Recursive eyes" prompt idea produces mesmerizing spiral of infinitely recurring faces — LudovicCreator · 2026-10-26
- Black Forest Labs open-sources 5.6B FLUX 3 Image Klein, +91 Elo with 38% fewer params — dl_weekly · 2026-10-26
- Claude + HyperFrames can clone any short-video style in minutes — petergyang · 2026-10-26