Implementation of an Intelligent Product Recommender System in an e-Store

摘要

With the emergence of new technologies and modern methods of marketing and the increasing intensity of competition among firms and companies for attracting new customers and making them loyal, a novel automatic solution is needed more than ever. The combination of Electronic Customer Relationship Management (E-CRM) and Artificial Intelligence (AI) has appeared as a solution in recent years. Recommending appropriate products to customers according to their needs is one of the methods of CRM. This paper introduces a system named VALA. It is a product recommender system using adjustable customer profiles and a dynamic grouping process which recommends products to each customer dynamically, as his/her preferences change. In other words the User Interface (UI) alters automatically as the customer profile changes. This recommender system combines collaborative filtering and non-collaborative filtering methods in order to come up with useful and unique suggestions for each customer.