Collaborative filtering recommendation algorithm based on clustering basal users
Youdong Zhang · Systems engineering and electronics · 2007
To overcome the difficulty of the speed bottleneck of collaborative filtering(CF) algorithm used for generating recommendation,a CF algorithm based on clustering basal users is presented.The algorithm separates the procedure of recommendation into offline and online phases.In the offline phase,the data of basal users are preprocessed,and the basal users are clustered;while in the online phase,the nearest neighbors of an active user are found according to the basal user clusters,and the recommendation to the active user is produced.The experimental results show that the presented algorithm can improve the performance of CF systems in both the recommendation quality and efficiency.