Application of artificial immune systems combines collaborative filtering in movie recommendation system

@article{Chang2014ApplicationOA,
  title={Application of artificial immune systems combines collaborative filtering in movie recommendation system},
  author={AlDen Chang and Jhen-Fu Liao and Pei-Chann Chang and Chin-Hung Teng and Meng-Hui Chen},
  journal={Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD)},
  year={2014},
  pages={277-282}
}
This research combines artificial immune system with user and item based collaborative filtering to create an efficient and accurate recommendation system. By applying the characteristic of antibodies and antigens in the artificial immune system and using Pearson correlation coefficient as the affinity threshold to cluster the data, our collaborative filtering can effectively find useful users and items for rating prediction. This research uses MovieLens dataset as our testing target to… CONTINUE READING