Výsledky vyhledávání - "Zhao, Jinyuan"

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Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search

Autor: Xu, Enqiang, Li, Xinhui, Zhou, Zhigong, Ji, Jiahao, Zhao, Jinyuan, Miao, Dadong, Wang, Songlin, Liu, Lin, Xu, Sulong

In the rapidly evolving field of e-commerce, the effectiveness of search re-ranking models is crucial for enhancing user experience and driving conversion rates. Despite significant advancements in feature representation and model architecture, the i

Externí odkaz: http://arxiv.org/abs/2408.05751

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MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search

Autor: Cheng, Peng, Wang, Huimu, Zhao, Jinyuan, Wang, Yihao, Xu, Enqiang, Zhao, Yu, Xiao, Zhuojian, Wang, Songlin, Tang, Guoyu, Liu, Lin, Xu, Sulong

Traffic allocation is a process of redistributing natural traffic to products by adjusting their positions in the post-search phase, aimed at effectively fostering merchant growth, precisely meeting customer demands, and ensuring the maximization of

Externí odkaz: http://arxiv.org/abs/2407.15476

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Akademický článek

ADAFT：an storage architecture of large-scale SDN flow tables based on adaptive deep aggregations

Autor: XIONG Bing, YUAN Yue, ZHAO Jinyuan, ZHAO Baokang, HE Shiming, ZHANG Jin

Publikováno v: Tongxin xuebao, Vol 45, Pp 226-238 (2024)

To solve the problem of resource shortage of ternary content addressable memory (TCAM) in the data plane of software defined network (SDN), a deep flow table aggregation method was proposed based on content entry trees, and a storage architecture of

Externí odkaz: https://doaj.org/article/00c4adca7af649e68bf28e17297246d0