Using formal concept analysis and collaborative filtering to recommendation system in e-commerce

Collaborative filtering is the most studied personalized recommendation technology. Collaborative filtering recommendation systems are used widely in e-commerce website and it is by far the most successful information filtering technologies. Formal concept analysis is a tool for data analysis or approach, especially given the information can be analyzed and processed. This paper presents to construct recommendation system of e-commerce by formal concept analysis and collaborative filtering to make up for these the shortcomings of existing e-commerce recommendation system. The experimental results show that this method can effectively improve the performance of the recommendation system.