An iterative semi-explicit rating method for building collaborative recommender systems

@article{Jeong2009AnIS,
  title={An iterative semi-explicit rating method for building collaborative recommender systems},
  author={Buhwan Jeong and Jaewook Lee and Hyunbo Cho},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={6181-6186}
}
Collaborative filtering plays the key role in recent recommender systems. It uses a user-item preference matrix rated either explicitly (i.e., explicit rating) or implicitly (i.e., implicit feedback). Despite the explicit rating captures the preferences better, it often results in a severely sparse matrix. The paper presents a novel iterative semi-explicit rating method that extrapolates unrated elements in a semi-supervised manner. Extrapolation is simply an aggregation of neighbor ratings… CONTINUE READING