ChinaTechnology and telecom2026 – ongoingXiaohongshu
OneModel ranking across recommendations and commercial services
Xiaohongshu reported an 8.18% advertising click-through increase with OneModel
Problem
Separate ranking systems fragmented user information and duplicated engineering work across business streams.
Approach
Xiaohongshu deployed OneModel in production across organic recommendations, advertising and merchant services. It combined behavior histories in a shared model while retaining adjustments for each business objective. Shared computation and cached user representations supported online serving.
Results
Takeaway
The reported gains came from company-run online comparisons. The research was authored by Xiaohongshu staff and did not provide independent validation.
Categories
- Industry
- Technology and telecom
- Business function
- Marketing and salesIT and R&D
- Innovation type
- Process innovation
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Xiaohongshu researchers described production deployment of a shared ranking model. They reported online A/B gains of 8.18% in advertising click-through rate and 1.25% in Explore Feed engagement.
Full details are in the original sources.
