An Information Retrieval Model is a framework used to organize and retrieve information from a large collection of data, such as documents or databases. It helps users find relevant information based on their queries by ranking results according to their relevance. Common models include the Boolean Model, which uses logical operators, and the Vector Space Model, which represents documents and queries as vectors in a multi-dimensional space. These models are essential in various applications, including search engines like Google and digital libraries. They enable efficient access to information, improving user experience by providing accurate and timely results based on the user's needs.