An On-line Intelligent Recommendation System for Digital Products Using Fuzzy Logic

Abstract

Developing an intelligent recommendation system is a good way to overcome the problem of products information overload. We believe that the personalized recommendation system should be build according the special features of a certain kind of products, thereby forming professional recommendation systems for different products. In the paper, we propose a system for digital products, such as laptop, digital camera, PDA, etc. The approach utilizes fuzzy logic to retrieve optimal products based on the consumer’s current preferences from the system-user interactions. Experimental results show the promise of our systems.