Personalized recommendation based on preferential bidirectional mass diffusion

@inproceedings{Chen2017PersonalizedRB,
  title={Personalized recommendation based on preferential bidirectional mass diffusion},
  author={Guilin Chen and Tianrun Gao and Xuzhen Zhu and Hui Tian and Zhao Yang},
  year={2017}
}
Recommendation system provides a promising way to alleviate the dilemma of information overload. In physical dynamics, mass diffusion has been used to design effective recommendation algorithms on bipartite network. However, most of the previous studies focus overwhelmingly on unidirectional mass diffusion from collected objects to uncollected objects, while overlooking the opposite direction, leading to the risk of similarity estimation deviation and performance degradation. In addition, they… CONTINUE READING

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