Applying Monte Carlo Dropout to LTV prediction provides uncertainty estimates and modest accuracy gains on a large mobile game dataset.
Estimating customer lifetime value based on rfm analysis of customer purchase behavior: Case study
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
Applying Monte Carlo Dropout to LTV prediction provides uncertainty estimates and modest accuracy gains on a large mobile game dataset.