A multi-level collaborative filtering method that improves recommendations

@article{Polatidis2016AMC,
  title={A multi-level collaborative filtering method that improves recommendations},
  author={Nikolaos Polatidis and Christos K. Georgiadis},
  journal={Expert Syst. Appl.},
  year={2016},
  volume={48},
  pages={100-110}
}
Collaborative filtering is one of the most used approaches for providing recommendations in various online environments. Even though collaborative recommendation methods have been widely utilized due to their simplicity and ease of use, accuracy is still an issue. In this paper we propose a multi-level recommendation method with its main purpose being to assist users in decision making by providing recommendations of better quality. The proposed method can be applied in different online domains… CONTINUE READING
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