Application of Map-Reduce model to search the customers of similar demands for products in e-commerce

Abstract

Finding and collaborating with customers of similar demands for products has become more and more important in the e-commerce. The essential data storage such as people with similar concerns, suitable personal profiles and their interactions in the community is chosen for analysis. This paper introduces the method of matching personal profiles by applying popular algorithms to the Map-Reduce model which is based on Hadoop framework. The purpose of this method is to create an effective tool which can help potential users save their time in finding an optimal list of people with similar interests. Then they can help companies to do better in consulting business to their customers.

Key words: Map-Reduce, Hadoop, profile matching, semantic analysis