Information Retrieval Models are frameworks used to find and retrieve information from large datasets, such as databases or the internet. These models help in organizing and ranking data based on user queries, ensuring that the most relevant information is presented first. 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. Another important model is the Probabilistic Model, which estimates the likelihood of a document being relevant to a user's query. These models are essential in search engines like Google and Bing, enabling users to efficiently access the information they need.