Audience Expansion

Audience expansion aims to identify potential customers beyond a known user base, leveraging machine learning to predict which individuals are likely to engage with a product or service. Current research focuses on improving the accuracy and efficiency of these predictions, employing techniques like binary classification with probability density estimation and heterogeneous graph networks that incorporate diverse user and item interactions. These advancements are crucial for targeted marketing campaigns, particularly in large-scale applications like video streaming platforms, enabling more effective resource allocation and personalized recommendations.