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Ye Tao
Ye Tao
Griffith University
Verified email at griffithuni.edu.au
Title
Cited by
Cited by
Year
Item trend learning for sequential recommendation system using gated graph neural network
Y Tao, C Wang, L Yao, W Li, Y Yu
Neural Computing and Applications, 1-16, 2023
232023
TRec: Sequential recommender based on latent item trend information
Y Tao, C Wang, L Yao, W Li, Y Yu
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
22020
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model
Y Tao, C Wang, AWC Liew
Future Generation Computer Systems 149, 162-170, 2023
12023
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
Z Qiu, Y Tao, S Pan, AWC Liew
arXiv preprint arXiv:2312.10967, 2023
2023
Enhancing recommender ensemble by estimating input fitness
Y Tao, C Wang, AWC Liew, S Binnewies
Computers and Electrical Engineering 104, 108442, 2022
2022
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Articles 1–5