60 citations · 111 across the 4 of their papers we have counts for
4 papers
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework
Shichang Ding, Xiangyang Luo, Jinwei Wang +1
Rule-based fine-grained IP geolocation methods are hard to generalize in computer networks which do not follow hypothetical rules. Recently, deep learning methods, like multi-layer…
A Review-Driven Neural Model for Sequential Recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo +2
Writing review for a purchased item is a unique channel to express a user's opinion in E-Commerce. Recently, many deep learning based solutions have been proposed by exploiting use…
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
Canwen Xu, Jing Li, Xiangyang Luo +3
In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing a…
NEXT: A Neural Network Framework for Next POI Recommendation
Zhiqian Zhang, Chenliang Li, Zhiyong Wu +3
The task of next POI recommendation has been studied extensively in recent years. However, developing an unified recommendation framework to incorporate multiple factors associated…