49 citations · 109 across the 12 of their papers we have counts for
22 papers
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…
Interactive Question Clarification in Dialogue via Reinforcement Learning
Xiang Hu, Zujie Wen, Yafang Wang +2
Coping with ambiguous questions has been a perennial problem in real-world dialogue systems. Although clarification by asking questions is a common form of human interaction, it is…
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…
RNE: A Scalable Network Embedding for Billion-scale Recommendation
Jianbin Lin, Daixin Wang, Lu Guan +5
Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dy…
Unpack Local Model Interpretation for GBDT
Wenjing Fang, Jun Zhou, Xiaolong Li +1
A gradient boosting decision tree (GBDT), which aggregates a collection of single weak learners (i.e. decision trees), is widely used for data mining tasks. Because GBDT inherits t…