no code implementations • DLP@RecSys 2023 • Qi Zhang, Chuhan Wu, Jieming Zhu, Jingjie Li, Qinglin Jia, Ruiming Tang, Rui Zhang, Liangbi Li
We then select them in a domain-aware way to promote informative features for different domains.
1 code implementation • 24 Jul 2023 • Yifan Wang, Peijie Sun, Min Zhang, Qinglin Jia, Jingjie Li, Shaoping Ma
To directly introduce the correct feedback label information, we propose an Unbiased delayed feedback Label Correction framework (ULC), which uses an auxiliary model to correct labels for observed negative feedback samples.
no code implementations • 26 Jun 2023 • Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang
Accurate customer lifetime value (LTV) prediction can help service providers optimize their marketing policies in customer-centric applications.
2 code implementations • 18 Oct 2022 • Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, JinXing Liu, Zhenhua Dong, Ruiming Tang
FE-Block module performs fine-grained and early feature interactions to capture the interactive signals between user and item towers explicitly and CIR module leverages a contrastive interaction regularization to further enhance the interactions implicitly.
no code implementations • 5 Jun 2022 • Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning vectorized embeddings is at the core of various recommender systems for user-item matching.
no code implementations • 3 Dec 2021 • Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
In this work, we study the problem of representation learning for recommendation with 1-bit quantization.
1 code implementation • 26 Sep 2021 • Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
In this work, inspired by the fact that users make their click decisions mostly based on the visual impression they perceive when browsing news, we propose to capture such visual impression information with visual-semantic modeling for news recommendation.
1 code implementation • IJCAI 2021 • Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
Nowadays, news recommendation has become a popular channel for users to access news of their interests.