Information retrieval model based on user profile

With the development of internet and storage devices, online document servers abound with enormous quantities of documents, so that finding the right and useful information becomes a very difficult task. The end user, generally overloaded by information, can't efficiently perceive such information. It became urgent to propose new information retrieval systems able to apprehend efficiently these enormous quantities of documents. In this paper we present PAIR an information retrieval model based on user profile. The originality of our approach is a choice of indexing terms depending on the user request but also on his profile. An empirical study confirms the relevance of our approach.