A Survey on Review Based Recommendation System

Abstract

The advances in internet technology have resulted in the generation of huge amount of data called as Big Data. Recommendation system is a widely used technique for the filtering the huge amount of data and providing recommendations to users according to their interest. Without taking previous user interest into consideration, the traditional recommender system does not provide efficient solutions to the users. In this paper, we introduce recommender system to solve the above-described problems. The proposed recommender system will take into consideration previous user’s interest and active user interest and by calculating similarity it will to provide recommendations to active user.