Personalized Integration of Recommendation Methods for E-commerce

The hybrid system of personalized product recommendation in e-commerce, by integrating various methods, was presented in the paper. Each e-commerce user has assigned their own weights corresponding to particular methods. Due to the permanent and personalized adaptation of these weights, the system can adjust the influence of individual methods separat ely for each user. Testing the implementation and evaluation of recommendation efficiency were also described.

• Type: Journal
• Year: 2006
• Where: IJCSA
• Authors: Przemyslaw Kazienko, Pawel Kolodziejski
• Keywords: E-commerce User, IJCSA 2006, Product Recommendation, Various Methods