Collaborative Filtering

Collaborative Filtering is a technique used in Collaborative Business Intelligence to make recommendations based on the preferences and behaviors of similar users. By analyzing the choices of individuals with matching interests, it can identify items or insights that may appeal to you, even if you haven't interacted with them yet. For example, if people with similar tastes to yours liked a specific product, you might also enjoy it. This approach leverages collective user data to enhance decision-making and improve overall business outcomes.