Personalized Integration of Recommendation Methods for E-commerce
Przemysław Kazienko, Paweł Kołodziejski · 2006
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 separately for each user. Testing the implementation and evaluation of recommendation efficiency were also described.