Assessing usage of negative similarity and distrust information in CF-based recommender system

@article{Ghaznavi2017AssessingUO,
  title={Assessing usage of negative similarity and distrust information in CF-based recommender system},
  author={Farnaz Ghaznavi and Sasan H. Alizadeh},
  journal={2017 Artificial Intelligence and Robotics (IRANOPEN)},
  year={2017},
  pages={132-138}
}
Nowadays recommender systems are developed to provide information for users to choose the best things that they want. Recently different collaborative filtering techniques have been successfully employed to provide precise recommendations. However, sparsity problem is still considered as an important remained challenges. Existing CF based recommendation methods generally focus on positive similarities and trust. In this approach the majority of data containing negative, zero similarity and… CONTINUE READING

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