Ceramic Products Recommendation Based Improved Collaborative Filtering
Huiying Li, Yilai Zhang, Gongxun Cheng - · 2013
In order to achieve personalized recommendation in the e-commerce platform for ceramic products, and improve the quality of recommendation, an improved collaborative filtering recommendation algorithm based on collaborative filtering algorithm was presented.By analyzing the insufficient of traditional collaborative filtering recommendation algorithm, combined with the characteristics of ceramic products in similar neighbor selection, the user was classified, and classification results as a basis for similar neighbors selected to optimize the choice of similar neighbors.Finally, experiments verify the improved algorithm, experimental results show that the improved method was optimized.