49 citations · 156 across the 15 of their papers we have counts for
7 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…
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng +10
Internet companies are facing the need for handling large-scale machine learning applications on a daily basis and distributed implementation of machine learning algorithms which c…
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…