xuanji xiao
Summary
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SeniorXuanji Xiao is an algorithm leader with 10+ years building large-scale recommender and information retrieval systems across Shopee, Tencent, Alibaba and Baifendian, currently leading algorithms for Shopee’s content e-commerce including feeds, live streaming and social commerce. He blends research and product impact—an early practitioner in IR and recommendation who has won ECIR 2024 and RecSys 2019 best-paper runner-up awards and open-sourced the influential OneRec project. Technically fluent in ranking, multi-task and reinforcement learning, lambda-style big data architectures, and production parallel computing, he has shipped CTR/CVR and long-term value solutions at internet scale. Comfortable bridging research and engineering, he routinely translates novel ML ideas into growth and ecosystem-facing features. Fluent in English and based in Shenzhen, he pairs strong academic foundations (MSc, Institute of Software CAS) with demonstrated cross-company delivery.
10 years of coding experienceProgramming languages (1)
Github contributions (5)
xuanjixiao/onerec
Feb 2023 - Mar 2023
在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔的，这样的话一方面方便大家在自己的平台数据下灵活组合各种信息，另一方面方便开源共建，大家可以在上边集成自己的各种算法。今天分享的都是之前在线上验证过效果的工作，相关代码和论文已经开源在：。欢迎大家开源共建。
Contributions:2 reviews, 26 commits, 9 PRs in 26 days
xuanjixiao/testgithub
Nov 2015 - Nov 2024
Contributions:4 pushes, 1 branch in 9 years
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