3 code implementations • 31 May 2021 • Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
Besides, MetaHeac has been successfully deployed in WeChat for the promotion of both contents and advertisements, leading to great improvement in the quality of marketing.
no code implementations • 11 May 2021 • Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
With the advantage of meta learning which has good generalization ability to novel tasks, we propose a transfer-meta framework for CDR (TMCDR) which has a transfer stage and a meta stage.
no code implementations • 11 May 2021 • Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
The cold item ID embedding has two main problems: (1) A gap is existing between the cold ID embedding and the deep model.
1 code implementation • 12 Jun 2019 • Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin
Recently, deep learning models play more and more important roles in contents recommender systems.