Fried's Algorithm

Fried's Algorithm is a method used in information retrieval and natural language processing to rank and organize information. It focuses on analyzing relationships between concepts in large datasets, helping systems understand context and relevance. By identifying connections among keywords and phrases, the algorithm efficiently retrieves the most pertinent information when a user searches for something. This approach enhances search engines and recommendation systems, improving the quality of results by highlighting not just similar terms but their significance in relation to the query. Overall, it makes finding relevant information faster and more accurate.