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A Blended Deep Learning Approach for Predicting User Intended Actions
[article]
2018
arXiv
pre-print
User intended actions are widely seen in many areas. Forecasting these actions and taking proactive measures to optimize business outcome is a crucial step towards sustaining the steady business growth. In this work, we focus on pre- dicting attrition, which is one of typical user intended actions. Conventional attrition predictive modeling strategies suffer a few inherent drawbacks. To overcome these limitations, we propose a novel end-to-end learning scheme to keep track of the evolution of
arXiv:1810.04824v1
fatcat:6okce4rlrrd6hn4bpot7zfvmbi