Personalization via Probabilistic Modeling

This paper introduces a probabilistic framework for website personalization. It uses a model to predict user behavior and preferences based on their interactions with the website. By tailoring content and recommendations to individual users, the system aims to improve user experience and increase engagement, making personalization more effective through statistical modeling of user data.