Cold‑Start Optimization for Content Recommendation on Alibaba’s Home‑Decor Platform
Alibaba’s home‑decor platform introduced a two‑stage cold‑start pipeline—Uniform Guarantee and Boost Amplification—combined with a Wide & Deep content‑potential model that predicts new item popularity, dramatically reducing exposure latency, boosting click‑through rates by ~8 % and overall exposure by 13 %.