5 citations · 11 across the 4 of their papers we have counts for
4 papers
KAST: Knowledge Aware Adaptive Session Multi-Topic Network for Click-Through Rate Prediction
Dike Sun, Kai Liu, ShengKai Yang
Capturing the evolving trends of user interest is important for both recommendation systems and advertising systems, and user behavior sequences have been successfully used in Clic…
R4: A Framework for Route Representation and Route Recommendation
Ran Cheng, Chao Chen, Longfei Xu +5
Route recommendation is significant in navigation service. Two major challenges for route recommendation are route representation and user representation. Different from items that…
Denoising User-aware Memory Network for Recommendation
Zhi Bian, Shaojun Zhou, Hao Fu +6
For better user satisfaction and business effectiveness, more and more attention has been paid to the sequence-based recommendation system, which is used to infer the evolution of…
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
Hao Fu, Shaojun Zhou, Qihong Yang +4
The pre-training models such as BERT have achieved great results in various natural language processing problems. However, a large number of parameters need significant amounts of…