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Dec 14, 2023 · Artificial Intelligence

How Multi‑Task Multi‑Scene Modeling Powers ZhiZhuan’s Search: Algorithms, Industry Practices, and Lessons

This article analyzes the challenges of multi‑task and multi‑scene recommendation for large‑scale C‑end services, reviews key academic and industry solutions such as Shared‑Bottom, MMoE, PLE, ESMM, LHUC, PEPNet, MTMS and HiNet, and details ZhiZhuan’s end‑to‑end architecture that achieved over 6% click‑through and 2% conversion improvements.

AI model architectureRecommendation SystemsZhiZhuan
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How Multi‑Task Multi‑Scene Modeling Powers ZhiZhuan’s Search: Algorithms, Industry Practices, and Lessons