Millions of users share opinions on different aspects of life every day. User can give opinions through their comments related to multimedia contents. For analyzing user's demands, the authors can evaluate user comments as a common online resource. Comments given by user provide clues about them and also their interest area. In this paper, they done survey on different techniques used for personalized search in relevant information retrieval. Recommender systems or recommendation systems are a subclass of information filtering system that seek to predict 'Rating' or 'Preference' that are given by users.