Reliable graph-based collaborative ranking

@article{Shams2018ReliableGC,
  title={Reliable graph-based collaborative ranking},
  author={Bita Shams and Saman Haratizadeh},
  journal={Inf. Sci.},
  year={2018},
  volume={432},
  pages={116-132}
}
Abstract GRank is a recent graph-based recommendation approach the uses a novel heterogeneous information network to model users’ priorities and analyze it to directly infer a recommendation list. Unfortunately, GRank neglects the semantics behind different types of paths in the network and during the process, it may use unreliable paths that are inconsistent with the general idea of similarity in neighborhood collaborative ranking. That negligence undermines the reliability of the… CONTINUE READING
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