This work proposes TmallGS, a high-performance, scalable universal ranking architecture tailored for the Tmall precision ranking domain, and introduces five core innovations, which significantly boosts training throughput while delivering substantial gains in both UCTCVR and GMV metrics.
Zhen-Tao Song, Yufeng Gao, Xingye Fang et al.· Proceedings of the 32nd ACM...· 0 citations
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