E-commerce Recommendation System using Association Rule Mining and Clustering

Abstract

This paper analyses content based recommendation for e-commerce site. Recommendation system use to generate recommendation of the product that customer may want to buy. This system increase the sale of vendor and easy to find product from available product. Association rule mining and clustering technique use to make real time recommendation system. From the user‟s transaction data-set we can generate rules for customer buying tendency. Based on customer purchased product and customer profile, we can generate recommendation using association rule mining technique. Association rule mining is very time consuming process for large data-set. So, it is not feasible for real time recommendation system. To overcome this problem clustering technique is used. Using hierarchical clustering we can make partition of whole large data-set in to tree of clusters. It decrease the time for real time recommendation system.