Predicting the sequential behavior of mobile Internet users based on MSM model
Zhengren Li, Xiaohang Zhang, Yanyu Wang, Xin Su
The behavior of users concerning mobile Internet varies significantly throughout the day. Results from existing studies—which generally simply segment one day into morning, afternoon, and evening—often provide inaccurate predictions of the behavior of users.
Introduction
The sequential behaviors of a user is a potentially important aspect of customer behavior research (Platzer & Reutterer, 2016), especially in mobile Internet context. The procedure for predicting Internet users' behaviors involves the core techni
