New Journal of Physics Accurate and diverse recommendations via eliminating redundant correlations

@inproceedings{Zhou2009NewJO,
  title={New Journal of Physics Accurate and diverse recommendations via eliminating redundant correlations},
  author={Tao Zhou and Ri-Qi Su and Run-Ran Liu and Luo-Luo Jiang and Bing-Hong Wang and Yi-Cheng Zhang},
  year={2009}
}
In this paper, based on a weighted projection of a bipartite userobject network, we introduce a personalized recommendation algorithm, called network-based inference (NBI), which has higher accuracy than the classical algorithm, namely collaborative filtering. In NBI, the correlation resulting from a specific attribute may be repeatedly counted in the cumulative recommendations from different objects. By considering the higher order correlations, we design an improved algorithm that can, to… CONTINUE READING
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