To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period

Article Details
Title:	To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period
Article URLs:	https://doi.org/10.1145/3178876.3186144
Alternative Article URLs:
Authors:	Yang Yang	Zhejiang University
	Zongtao Liu	Zhejiang University
	Chenhao Tan	University of Colorado Boulder
	Fei Wu	Zhejiang University
	Yueting Zhuang	Zhejiang University
	Yafeng Li	China Telecom.
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://yangy.org/data.html
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/www/0009LT0ZL18
Author Comments:

ACM World Wide Web, WWW 2018