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Information filtering based on corrected redundancy-eliminating mass diffusion
2017
PLoS ONE
Methods used in information filtering and recommendation often rely on quantifying the similarity between objects or users. The used similarity metrics often suffer from similarity redundancies arising from correlations between objects' attributes. Based on an unweighted undirected object-user bipartite network, we propose a Corrected Redundancy-Eliminating similarity index (CRE) which is based on a spreading process on the network. Extensive experiments on three benchmark data sets-Movilens,
doi:10.1371/journal.pone.0181402
pmid:28749976
pmcid:PMC5531469
fatcat:3denziffcfaafabrtmaqts2j2e