Research of collaborative filtering recommendation based on user trust model
Chengwei Huang · Computer Engineering and Applications Journal · 2010
Collaborative filtering is one of the most successful recommendation technology,which has been widely used in e-commerce recommendation,and it uses the ratings of users who have similar behavior with target user to generate recom-mendation.Howeverc,urrent research reveals that the traditional collaborative filtering algorithms emphasize on the role of sim-ilarity too much,which is a contrary to our cognition.In this paper,we introduce the mechanism of trust which is mature in sociology to improve the traditional algorithm.The experiment result shows that the improvement algorithm is efficient since it has higher accuracy compared with the traditional collaborative filtering.