PolarDB for AI is a distributed machine learning component in databases provided by PolarDB for MySQL. PolarDB for AI is developed based on a cloud-native architecture. It provides Machine Learning Operations (MLOps) capabilities by using SQL statements, such as model creation, model status viewing, model list viewing, model evaluation, and model inference. It also includes a set of built-in machine learning and artificial intelligence algorithms for classification, regression, and clustering. By leveraging MLOps and integrated models, PolarDB for AI delivers efficient, reliable, and convenient data intelligence for data-driven intelligent applications. It seamlessly integrates databases with business applications, providing an end-to-end database intelligence service.
Scenarios
The gaming industry involves numerous AI scenarios. This chapter focuses on user behavior analysis scenarios that are suitable for the BST algorithm.
Prediction of player payment: By analyzing the behavior of a player over a period of time (M days), the system can predict the likelihood of the player making a payment in the future (N days). Common scenarios include M=1 while N=7, M=7 while N=7, and M=14 while N=7.
Prediction of player payment amount: By analyzing the behavior of a player over a period of time (M days), the system can predict the total payment amount of the player in the future (N days). Common scenarios include M=1 while N=7, M=7 while N=7, and M=30 while N=90. You can identify players who are likely to pay or pay significant amounts for the following purposes:
Targeted advertising to improve advertising efficiency.
Fine-grained operations.
Prediction of player churn: By analyzing the behavior of a player over a period of time (M days), the system can predict the likelihood of the player churning in the future (N days). Common scenarios include M=7 while N=7, M=14 while N=7, and M=30 while N=7. You can identify players who are likely to churn for the following purposes:
Contact users to collect reasons for user churns to improve gaming experience.
Retain high-value users to avoid user churns.