Comment Based Product Recommendation System using Association Rule Approach

There is a boom of e-commerce industry now a days. User has so many options to buy any products online. To find proper product is being very complex task. Many websites are providing facility to submit reviews as a comment for every product. These reviews are mostly submitted by Customers those has bought the products. This comment varies from worst level to best level. So in order to categorize these comments or to predict the best outcome among the posted comments recommendation is needed there is a need for recommendation system. Mostly people use Collaborative Filtering approach to build recommendation system. It requires users to express opinions on items and then they collect opinions and recommend items based on people opinions similarity. Those who agree most are the contributors. Recommendation system applies information retrieval technique to select online information relevant to a given user. We are going to research on such Recommendation system that can help the user to find the better products from large dataset.