Machine Learning in Information Retrieval

Machine learning in information retrieval involves algorithms that learn from large amounts of data to improve how search systems find relevant information. It analyzes patterns and user behaviors to understand what users are looking for, helping the system deliver more accurate results over time. For example, when you search for a term, the system uses machine learning to predict the most relevant documents, websites, or answers based on previous interactions and data. This makes search results smarter and more personalized, enhancing how efficiently and effectively we find the information we need.