Hybrid Recommendation System with Review Helpfulness Features

Abstract: As there are millions of product available online it is not easy for the customer to find the best products. Recommendation system is an information filtering system. Many Recommendation system are Collaborative Filtering Algorithm However it still has a problem such as a cold-start problem and sparsity problem. In this paper we proposed Hybrid recommendation system with review helpfulness feature. We can construct the hybrid model. In this system we use the three recommendation technique like as an item based, content based and knowledge based. The result of this system provide the accurate and meaningful service recommendation to active user. Keywords: Collaborative filtering, big data application, cluster.