4 papers
GRP v0.1 Technical Report
Wenfeng Zhuo, Vincent Xue, Charles Wei +19
Industrial recommendation systems rely on multi-stage cascades whose retrieval, ranking, and serving components are difficult to replace jointly. We present GRP, a generative recom…
Content Exploration Beyond the Feed: Creator Supply and the Shared Corpus
Yuanyuan Shen, Yiren Yan, Wenjie Li +1
Industrial recommenders give new content initial views through budgeted exploration, then use early performance to decide further delivery. On many short-video platforms, explorati…
LLM-Based Generative Retrieval for Snapchat Content Recommendation
Liam Collins, Jiwen Ren, Donald Loveland +20
Pretrained large language models (LLMs) are promising retrieval engines because they combine rich semantic priors, strong sequence modeling capabilities, and favorable scaling beha…
The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
Yuanyuan Shen, Yiren Yan, Wenjie Li +1
On two-sided content platforms, symmetric two-sided isolation (assigning matched fractions of creators and viewers to isolated treatment and control submarkets) is widely used for…