Journals Proceedings

Abstract

This paper addresses survey of work done on relevance feedback in the past few years. Till date, various techniques have been proposed for relevance feedback. Some techniques used Bayesian classifier, while others are log based and Neuro-fuzzy based. Some of them use human computer interaction for providing feedback. However, existing methods require a large number of iterations and also it is difficult to converge the query towards user intention. Hence, in this paper we present some of the recent techniques that overcome the above disadvantagesand their comparative analysis.