An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings

@article{Zhu2018AnER,
  title={An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings},
  author={Bo Zhu and Remigio Hurtado and Jes{\'u}s Bobadilla and Fernando Ortega},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={49935-49954}
}
In this paper, we propose a collaborative filtering method designed to improve the current memory-based prediction times without worsening and even improving the existing accuracy results. The accuracy improvement is achieved by combining the numerical relevance of the ratings with non-numerical information based on the votes structure. The improvement of the prediction time is achieved by setting four actions: 1) simplification of the similarity measure design, in order to minimize the… CONTINUE READING

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