Survey on Content Based Recommendation System

Today, as the Web is rapidly growing at a faster rate, finding relevant information is becoming extremely difficult. Information or content can be in any form such as music, video, images or text which is of interest to the users. Therefore Recommendation systems come into picture. Recommendation systems are a sub-category of information filtering system that help people find products, correct information and even other people as well. This paper represents Content-Based Recommendation Techniques that will help personalize the search and provide only relevant information to the user based on previous ratings and predictions along with a comparative study. Keywords— recommendation techniques, data sparsity, cold start problem.