PREDICTIVE MODELING OF CLICK-THROUGH RATES: A REGRESSION ANALYSIS APPROACH
DOI:
https://doi.org/10.32010/26166127.2023.6.2.199.202Keywords:
Data Splitting, XGBoost, CTR-related, CTR PredictionAbstract
This research uses advanced regression techniques to develop a robust predictive model for Click-Through Rates (CTR) in online advertising. The study leverages a diverse dataset encompassing various advertising campaigns and user interactions to uncover patterns and relationships influencing click-through behavior. The goal is to provide advertisers with a tool for accurate CTR prediction, enabling them to optimize campaigns and allocate resources effectively.
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References
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