A Framework for Personalized Information Retrieval Model

Abstract

Existing search engines ignore the user’s search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user’s profile during the retrieval process is “mandatory.” In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.