Alimama Tech
May 27, 2021 · Artificial Intelligence
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre‑Ranking: A Learnable Feature‑Selection‑Based Approach
The authors introduce an interaction‑focused pre‑ranking model combined with a learnable, complexity‑aware feature‑selection technique (FSCD) that selects a compact feature set, enabling Alibaba’s search advertising system to boost offline AUC from 0.695 to 0.737, raise recall to 95 %, improve CTR and RPM, yet retain CPU usage and latency comparable to traditional vector‑dot models.
Machine LearningSearch Advertisingeffectiveness
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