An improved recommendation algorithm in E-commerce
Xuemin Zhang, Zenggang Xiong, Jinhe Wang · 2008
To improve the drawback of collaborative-based recommendation algorithm and content-based recommendation algorithm in e-commerce, a new algorithm is proposed, which is integrated the collaborative-based recommendation and content-based recommendation algorithm. In e-commerce system, user information is divided into field information and atomic information according to the two classifications. First, collaborative-based recommendation algorithm is adopted for field information, and then content-based recommendation algorithm is used to atomic information. Theoretical analysis and simulations prove that the improved recommendation algorithm outperforms the traditional algorithms.