Heat Conduction Process on Community Networks as a Recommendation Model

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dc.creatorZhang, Yi-Cheng
dc.creatorBlattner, Marcel
dc.creatorYu, Yi-Kuo
dc.date2008-03-14
dc.date.accessioned2026-07-07T09:26:53Z
dc.date.available2026-07-07T09:26:53Z
dc.descriptionUsing heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are typical of internet communities. In particular, with an innovative, exact formulation that accommodates arbitrary boundary condition, our method is easy to use in real applications. The performance is assessed by comparing with traditional recommendation methods using real data.
dc.description4 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0803.2179
dc.identifierhttp://arxiv.org/abs/0803.2179
dc.identifierPhys. Rev. Lett. 99, 154301 (2007)
dc.identifierdoi:10.1103/PhysRevLett.99.154301
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/156913
dc.subjectPhysics and Society
dc.titleHeat Conduction Process on Community Networks as a Recommendation Model
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