Collaborative filtering is a widely used recommendation technique and many collaborative filtering techniques have been developed, each with its own merits and drawbacks. In this study, we apply an artificial immune network to collaborative filtering for movie recommendation. We propose new formulas in calculating the affinity between an antigen and an antibody and the affinity of an antigen to an immune network. In addition, a modified similarity estimation formula based on the Pearson correlation coefficient is also developed. A series of experiments based on MovieLens and EachMovie datasets are conducted, and the results are very encouraging.

+More

pearson correlation coefficient artificial immune network similarity estimation formula collaborative filtering techniques movielens and eachmovie datasets recommendation technique

Pei-Chann Chang, Chin-Hung Teng,Meng-Hui Chen,.Applying artificial immune systems to collaborative filtering for movie recommendation. 29 (4),830-839.

Pei-Chann Chang, Chin-Hung Teng,Meng-Hui Chen,"Applying artificial immune systems to collaborative filtering for movie recommendation" 29

Pei-Chann Chang, Chin-Hung Teng,Meng-Hui Chen,"Applying artificial immune systems to collaborative filtering for movie recommendation"