Study of Recommendation Models in E-Commerce Recommendation Systems
Huiying Zhang · Computer Engineering and Applications Journal · 2006
In the personalized recommendation systems,how to forecast users' browsing patterns effectively is always an important and hot area.However,the association rules mining do not perform well in predicting future browsing patterns at present.In this paper,three recommendation models are proposed,which can enhance the precision of forecasting and reduce response time.The experiment results show that the combination of the three recommendation models could improve the precision rate,coverage rate and matching rate effectively.