Kaikai Ge
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | RecSys | Interpretable User Retention Modeling in Recommendation. | Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin |
| 2021 | KDD | Adversarial Feature Translation for Multi-domain Recommendation. | Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin |
| 2021 | KDD | Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. | Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | SIGIR | Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. | Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He |
| 2021 | SIGIR | Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. | Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao |
| 2019 | KDD | Real-time Attention Based Look-alike Model for Recommender System. | Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin |