Important features according to feature groups.

<div><p>Research on user churn prediction has been conducted across various domains for a long time. Among these, the gaming domain is characterized by its potential for diverse types of interactions between users. Due to this characteristic, many studies on churn prediction have conside...

Full description

Saved in:

Bibliographic Details
Main Author:	Minseop Lee (14508606) (author)
Other Authors:	Jiyoung Woo (8720871) (author)
Published:	2025
Subjects:	Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> research proposed model achieves graph neural networks experimental results reveal accurately reflect changes predicts user churn predicting user churn dynamic graph model user behavior compared static graph models soul &# 8217 user churn prediction use static graphs interactions among users churn prediction user behavior static graphs &# 8217 dynamic graphs user interactions predictive models dynamic nature work highlights study addresses playing games many studies gaming industry gaming domain games based effectively capture diverse types conventional algorithms actively applied active interactions 000 users
Tags:	Add Tag No Tags, Be the first to tag this record!

Important features according to feature groups.

Similar Items