Recommendation systems are very much appreciated as well as used in today’s fast growing web service industry. E-commerce giants such as Amazon, Alibaba, Flipkart, etc are using these recommendation systems and users are very much dependent on it. But dishonest recommendation or rating lead a user unsatisfactory product. Our work is focused on finding the parameters to sample feedbacks. These feedbacks are classified by finding the frequent patterns on it and depending on some specific threshold, using Apriori algorithm. According to the classified feedbacks, they will be rated.
Collaborative Filtering (CF), E-Commerce, Apriosi Algorithm, Content based filtering.