Personalized recommendation system of third-party E-commerce

Abstract

A kind of third-party personalized information recommendation system is put forward, and system architecture, functional modules and implementation of key technologies are described in details. The system can automatically collect product information in the network, and automatically carry out products. recommendation according to the needs of users. The test result indicates that this system has good performance. © 2012 Springer-Verlag GmbH Berlin Heidelberg.