Jingtao Ding
Jingtao Ding
Verified email at
Cited by
Cited by
An improved sampler for bayesian personalized ranking by leveraging view data
J Ding, F Feng, X He, G Yu, Y Li, D Jin
Companion Proceedings of the The Web Conference 2018, 13-14, 2018
Reinforced Negative Sampling for Recommendation with Exposure Data.
J Ding, Y Quan, X He, Y Li, D Jin
IJCAI, 2230-2236, 2019
Improving Implicit Recommender Systems with View Data.
J Ding, G Yu, X He, Y Quan, Y Li, TS Chua, D Jin, J Yu
IJCAI, 3343-3349, 2018
Characterizing the spatio-temporal inhomogeneity of mobile traffic in large-scale cellular data networks
H Wang, J Ding, Y Li, P Hui, J Yuan, D Jin
Proceedings of the 7th International Workshop on Hot Topics in Planet-scale …, 2015
Sampler design for bayesian personalized ranking by leveraging view data
J Ding, G Yu, X He, F Feng, Y Li, D Jin
IEEE transactions on knowledge and data engineering 33 (2), 667-681, 2019
Simplify and robustify negative sampling for implicit collaborative filtering
J Ding, Y Quan, Q Yao, Y Li, D Jin
Advances in Neural Information Processing Systems 33, 1094-1105, 2020
Learning from Hometown and current city: Cross-city POI recommendation via interest drift and transfer learning
J Ding, G Yu, Y Li, D Jin, H Gao
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
Improving implicit recommender systems with auxiliary data
J Ding, G Yu, Y Li, X He, D Jin
ACM Transactions on Information Systems (TOIS) 38 (1), 1-27, 2020
Measurement-driven modeling for connection density and traffic distribution in large-scale urban mobile networks
J Ding, R Xu, Y Li, P Hui, D Jin
IEEE Transactions on Mobile Computing 17 (5), 1105-1118, 2017
Time dependent pricing for large-scale mobile networks of urban environment: Feasibility and adaptability
J Ding, Y Li, P Zhang, D Jin
IEEE Transactions on Services Computing 13 (3), 559-571, 2017
Measurement-driven capability modeling for mobile network in large-scale urban environment
J Ding, X Liu, Y Li, D Wu, D Jin, S Chen
2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems …, 2016
CMBPR: category-aided multi-channel bayesian personalized ranking for short video recommendation
X Wang, C Gao, J Ding, Y Li, D Jin
IEEE Access 7, 48209-48223, 2019
Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks
J Ding, Y Li, D Jin
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2015
Click versus share: A feature-driven study of micro-video popularity and virality in social media
J Ding, Y Li, Y Li, D Jin
Proceedings of the 2018 SIAM International Conference on Data Mining, 198-206, 2018
Deviations of check-ins and human mobility trajectory
X Wang, J Ding, S Uhlig, Y Li, D Jin
2019 5th International Conference on Big Data Computing and Communications …, 2019
Beyond the click: A first look at the role of a microblogging platform in the Web ecosystem
J Ding, Z Liu, S Xiao, Y Chen, Y Li, D Jin, S Uhlig
IEEE Transactions on Network and Service Management 16 (2), 743-754, 2018
Knowledge-driven site selection via urban knowledge graph
Y Liu, J Ding, Y Li
arXiv preprint arXiv:2111.00787, 2021
Location Semantics Identification via Users’ Clickstreams in Mobile Social Networking
X Wang, H Wang, J Ding, Y Li, D Jin
IEEE Transactions on Network and Service Management 16 (4), 1768-1781, 2019
Item-Provider Co-learning for Sequential Recommendation
L Chen, J Ding, M Yang, C Li, C Song, L Yi
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Representative Negative Instance Generation for Online Ad Targeting
Y Quan, J Ding, D Jin, J Yang, X Zhou, Y Li
Proceedings of the 29th ACM International Conference on Information …, 2020
The system can't perform the operation now. Try again later.
Articles 1–20