👉 Praise computing, also known as recommendation computing or collaborative filtering, is a subfield of artificial intelligence focused on predicting user preferences and recommending items based on the behavior and ratings of similar users or items. It operates by analyzing large datasets of user interactions, such as purchases, ratings, or clicks, to identify patterns and similarities. By leveraging these insights, praise computing systems can suggest products, content, or services that align with a user's interests, enhancing personalization and user experience. This approach is widely used in e-commerce platforms, streaming services, and social media to drive engagement and satisfaction by providing relevant recommendations.
