49 citations · 198 across the 22 of their papers we have counts for
6 papers · 1 filter
Review Helpfulness Prediction with Embedding-Gated CNN
Cen Chen, Minghui Qiu, Yinfei Yang +4
Product reviews, in the form of texts dominantly, significantly help consumers finalize their purchasing decisions. Thus, it is important for e-commerce companies to predict review…
Distributed Collaborative Hashing and Its Applications in Ant Financial
Chaochao Chen, Ziqi Liu, Peilin Zhao +3
Collaborative filtering, especially latent factor model, has been popularly used in personalized recommendation. Latent factor model aims to learn user and item latent factors from…
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
Biao Xiang, Ziqi Liu, Jun Zhou +1
We study feature propagation on graph, an inference process involved in graph representation learning tasks. It's to spread the features over the whole graph to the -th orders,…
A Boosting Framework of Factorization Machine
Longfei Li, Peilin Zhao, Jun Zhou +1
Recently, Factorization Machines (FM) has become more and more popular for recommendation systems, due to its effectiveness in finding informative interactions between features. Us…
Time-sensitive Customer Churn Prediction based on PU Learning
Li Wang, Chaochao Chen, Jun Zhou +1
With the fast development of Internet companies throughout the world, customer churn has become a serious concern. To better help the companies retain their customers, it is import…
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li +4
We present, GeniePath, a scalable approach for learning adaptive receptive fields of neural networks defined on permutation invariant graph data. In GeniePath, we propose an adapti…