Example Concept: AI in search engines uses algorithms like natural language processing (NLP) to understand and interpret user queries, while machine learning models rank and filter results based on relevance. In recommendation systems, AI analyzes user data and item attributes to predict and suggest content or products that align with user interests, often employing collaborative filtering or content-based filtering techniques.