👉 Hotmail, now known as Outlook, uses a mathematical framework called probabilistic models to deliver personalized email experiences. At its core is the Bayesian inference method, which involves calculating the probability of a user's interests or preferences based on their past behavior. Hotmail employs a combination of n-gram language models and Bayesian networks to predict the likelihood of certain words or phrases appearing in a user's inbox. This allows Hotmail to rank and prioritize emails, ensuring that users see the most relevant content first. The system continuously learns from user interactions, updating its probabilities to refine predictions and improve the relevance of email delivery. This probabilistic approach ensures that Hotmail's recommendations are tailored to individual users, making their inbox more organized and efficient.
