A Survey on Relevance Feedback for Information Retrieval Based on User Query

Abstract

Users of online web engines frequently think that it�s hard to express their requirement for information as a query. Be that as it may, if the user can distinguish cases of the sort of records they require, then they can utilize a system known as relevance feedback. Relevance feedback covers a scope of methods planned to enhance a user's inquiry and encourage recovery of information important to a user's information require. In this paper we review relevance feedback strategies. We presented both procedures, in which the framework changes the user's inquiry, and intuitive strategies, in which the user has control over question alteration. We additionally consider particular interfaces to relevance feedback frameworks and qualities of searchers that can influence the utilization and achievement of relevance feedback frameworks.