Temporal Segmentation in Boosting Algorithms

Requirements Clarification & Assessment

1. Business Objective:

   • The primary goal is to predict whether a user will trust Netflix enough to provide their credit card details for a trial subscription.
   • Understanding the factors influencing user trust can help tailor marketing strategies and enhance user experience.

2. Dataset Overview:

   • Historical data spanning a decade, including user demographics, session details, and whether the credit card information was provided.
   • Data includes variables like location, device type, age group, and session-related information.

3. Key Assumptions:

   • Users who provide credit card information are considered to trust the platform.
   • Data is assumed to be representative of the current user base.
   • Temporal changes in user behavior and Netflix's strategy over the years are significant.

4. Clarifying Questions:

   • Is the model intended for real-time predictions for new users?
   • Are there significant changes in data collection methods over the years?
   • What is the distribution of users who did not provide credit card information?