Comparative study of information retrieval models used in search engine

Information retrieval is the methods of retrieving all the relevant information from a large collection of information. We will focus on the performance of the different information retrieval model based upon these models properties. Search engines used the property of these models for identifying the users given query for retrieving the information from the World Wide Web and form some specific application domain. If the user query is matched the search engine is able to precede the user query and retrieve the relevant information that is being searched by the user. Search engines which usually allow the information retrieval accuracy by using the Boolean Model, Vector Space Model and Probabilistic Model. In our paper we analyze precision and recall of these three models and compared by using different parameters.