An explicit trust and distrust clustering based collaborative filtering recommendation approach

@article{Ma2017AnET,
  title={An explicit trust and distrust clustering based collaborative filtering recommendation approach},
  author={Xiao Ma and Hongwei Lu and Zaobin Gan and Jiangfeng Zeng},
  journal={Electronic Commerce Research and Applications},
  year={2017},
  volume={25},
  pages={29-39}
}
Clustering based recommender systems have been demonstrated to be efficient and scalable to large-scale datasets. However, due to the employment of dimensionality reduction techniques, clustering based recommendation approaches generally suffer from relatively low accuracy and coverage. To tackle these problems, some trust clustering based recommendation methods are proposed which cluster the social trust information other than the user-item ratings. Existing trust clustering based… CONTINUE READING