no code implementations • 9 May 2024 • Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li
In large e-commerce platforms, search systems are typically composed of a series of modules, including recall, pre-ranking, and ranking phases.
no code implementations • 8 Jun 2023 • Juan Gong, Zhenlin Chen, Chaoyi Ma, Zhuojian Xiao, Haonan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yunjiang Jiang
An effective ranking model should give a personalized ranking list for each user according to the user preference.
1 code implementation • 24 May 2023 • Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu
To evaluate the effectiveness of these models, previous studies mainly utilize the simulated Amazon recommendation dataset, which contains automatically generated queries and excludes cold users and tail products.
no code implementations • 1 Feb 2022 • Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang
Recent years have seen a significant amount of interests in Sequential Recommendation (SR), which aims to understand and model the sequential user behaviors and the interactions between users and items over time.
no code implementations • 26 Apr 2021 • Yunjiang Jiang, Yue Shang, Rui Li, Wen-Yun Yang, Guoyu Tang, Chaoyi Ma, Yun Xiao, Eric Zhao
We describe a highly-scalable feed-forward neural model to provide relevance score for (query, item) pairs, using only user query and item title as features, and both user click feedback as well as limited human ratings as labels.
no code implementations • 24 Mar 2021 • Rui Li, Yunjiang Jiang, WenYun Yang, Guoyu Tang, Songlin Wang, Chaoyi Ma, wei he, Xi Xiong, Yun Xiao, Eric Yihong Zhao
We introduce deep learning models to the two most important stages in product search at JD. com, one of the largest e-commerce platforms in the world.
1 code implementation • 24 Jul 2020 • Zhuojian Xiao, Yunjiang Jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan
In addition, feature importance for the purpose of CTR/CVR predictions differs from one category to another.
no code implementations • LREC 2014 • Guoyu Tang, Yunqing Xia, Weizhi Wang, Raymond Lau, Fang Zheng
We address the polysemy issue with a Bayesian model, and the synonymy issue by exploiting the Wikipedia redirections.
no code implementations • LREC 2012 • Yunqing Xia, Guoyu Tang, Peng Jin, Xia Yang
A preliminary evaluation with CLTC corpus indicates that the corpus is effective in evaluating cross-lingual topic detection methods.