A Regularization Method with Inference of Trust and Distrust in Recommender Systems

@inproceedings{Rafailidis2017ARM,
  title={A Regularization Method with Inference of Trust and Distrust in Recommender Systems},
  author={Dimitrios Rafailidis and Fabio A. Crestani},
  booktitle={ECML/PKDD},
  year={2017}
}
In this study we investigate the recommendation problem with trust and distrust relationships to overcome the sparsity of users’ preferences, accounting for the fact that users trust the recommendations of their friends, and they do not accept the recommendations of their foes. In addition, not only users’ preferences are sparse, but also users’ social relationships. So, we first propose an inference step with multiple random walks to predict the implicit-missing trust relationships that users… 
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An uncertainty-aware computational trust model considering the co-existence of trust and distrust in social networks
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