1 code implementation • 11 Feb 2024 • Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
Large language models (LLMs) like ChatGPT, exhibit powerful zero-shot and instruction-following capabilities, have catalyzed a revolutionary transformation across diverse fields, especially for open-ended tasks.
1 code implementation • 31 Dec 2023 • Qifang Zhao, Weidong Ren, Tianyu Li, Xiaoxiao Xu, Hong Liu
We introduce \textit{GraphGPT}, a novel model for Graph learning by self-supervised Generative Pre-training Transformers.
1 code implementation • 16 Dec 2022 • Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu
However, we observe that the time interval in a sequence may vary significantly different, and thus result in the ineffectiveness of user modeling due to the issue of \emph{preference drift}.
no code implementations • 29 Apr 2022 • Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, \\Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao
The exposure sequence is being actively studied for user interest modeling in Click-Through Rate (CTR) prediction.
no code implementations • 17 Jan 2022 • Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao
We propose a general Variational Embedding Learning Framework (VELF) for alleviating the severe cold-start problem in CTR prediction.
no code implementations • 20 Oct 2021 • Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu
User Modeling plays an essential role in industry.
no code implementations • 29 Sep 2021 • Bei Yang, Ke Liu, Xiaoxiao Xu, Renjun Xu, Hong Liu, Huan Xu
However, existing researches have little ability to model universal user representation based on lifelong behavior sequences since user registration.
no code implementations • 18 Sep 2021 • Qinghui Sun, Jie Gu, Bei Yang, Xiaoxiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu
Universal user representation has received many interests recently, with which we can be free from the cumbersome work of training a specific model for each downstream application.
no code implementations • 11 Dec 2020 • Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang
In this work, we focus on developing universal user representation model.
no code implementations • ACL 2020 • Zhiquan Ye, Yuxia Geng, Jiaoyan Chen, Jingmin Chen, Xiaoxiao Xu, SuHang Zheng, Feng Wang, Jun Zhang, Huajun Chen
In this situation, transferring from seen classes to unseen classes is extremely hard.