抽象的な

Application of artificial neural networks on personalized recommendation algorithm

Xie Caiyun, Hong Ruxia

Personalized recommendation aims at providing information and goods according to customers’ interests and behavior. The deficits among recommendation algorithm pose challenges to system as its scale accumulates. Therefore, several techniques have been adopted to improve it. This paper will give a brief introduction of the common principles of artificial neural networks and recommendation algorithm and elaborate on the combination of the two.