Jingtao Ding


2022

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Item-Provider Co-learning for Sequential Recommendation
Lei Chen | Jingtao Ding | Min Yang | Chengming Li | Chonggang Song | Lingling Yi
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation
Dandan Lin | Shijie Sun | Jingtao Ding | Xuehan Ke | Hao Gu | Xing Huang | Chonggang Song | Xuri Zhang | Lingling Yi | Jie Wen | Chuan Chen
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Causal Learning Empowered OD Prediction for Urban Planning
Jinwei Zeng | Guozhen Zhang | Can Rong | Jingtao Ding | Jian Yuan | Yong Li
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2020

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Improving Implicit Recommender Systems with Auxiliary Data
Jingtao Ding | Guanghui Yu | Yong Li | Xiangnan He | Depeng Jin
2020 Volume 38 Issue 1

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Representative Negative Instance Generation for Online Ad Targeting
Yuhan Quan | Jingtao Ding | Depeng Jin | Jianbo Yang | Xing Zhou | Yong Li
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2018

doi dblp
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
Jingtao Ding | Fuli Feng | Xiangnan He | Guanghui Yu | Yong Li | Depeng Jin
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018