Recommendation model based on opinion diffusion

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dc.creatorZhang, Yi-Cheng
dc.creatorMedo, Matus
dc.creatorRen, Jie
dc.creatorZhou, Tao
dc.creatorLi, Tao
dc.creatorYang, Fan
dc.date2007-10-11
dc.date2007-11-15
dc.date.accessioned2026-07-07T08:42:48Z
dc.date.available2026-07-07T08:42:48Z
dc.descriptionInformation overload in the modern society calls for highly efficient recommendation algorithms. In this letter we present a novel diffusion based recommendation model, with users' ratings built into a transition matrix. To speed up computation we introduce a Green function method. The numerical tests on a benchmark database show that our prediction is superior to the standard recommendation methods.
dc.description5 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0710.2228
dc.identifierhttp://arxiv.org/abs/0710.2228
dc.identifierEurophysics Letters 80 (2007) 68003
dc.identifierdoi:10.1209/0295-5075/80/68003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/142091
dc.subjectPhysics and Society
dc.subjectComputers and Society
dc.subjectInformation Retrieval
dc.subjectData Analysis, Statistics and Probability
dc.titleRecommendation model based on opinion diffusion
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