DataFunSummit
Jul 11, 2022 · Artificial Intelligence
Optimizing CVR in Sparse High‑Value Travel Recommendation Scenarios
This article presents a comprehensive overview of conversion‑rate (CVR) optimization for Alitrip’s travel recommendation platform, detailing the challenges of extremely sparse user feedback, the design of item, user, query and context features, and a series of model‑level and loss‑function techniques—including generic‑label modeling, global‑transaction modeling, ESMM, rank‑loss approximations, and multi‑task CTR auxiliary training—to improve both CTR and CVR performance in high‑ticket‑price scenarios.
CVR optimizationRecommendation SystemsSparse Data
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