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Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
May 10, 2024, 4:42 a.m. | Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li
cs.LG updates on arXiv.org arxiv.org
Abstract: In large e-commerce platforms, search systems are typically composed of a series of modules, including recall, pre-ranking, and ranking phases. The pre-ranking phase, serving as a lightweight module, is crucial for filtering out the bulk of products in advance for the downstream ranking module. Industrial efforts on optimizing the pre-ranking model have predominantly focused on enhancing ranking consistency, model structure, and generalization towards long-tail items. Beyond these optimizations, meeting the system performance requirements presents a …
abstract advance arxiv bulk commerce consistent cs.ir cs.lg e-commerce e-commerce platforms filtering industrial modules platforms products ranking recall search series systems type
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