Extracting hidden information from knowledge networks

Sergei Maslov, Yi Cheng Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

A general framework allowing prediction of consumer preferences from a knowledge network was described. The method was based on reconstruction of individual tastes of customers from a sparsely connected network of their opinions on products, services or each other. A Gaussian model was used to study the formation of customer opinions. The prediction power was shown to depend on the ratio between the known and unknown opinions.

Original languageEnglish (US)
Article number248701
Pages (from-to)2487011-2487014
Number of pages4
JournalPhysical review letters
Volume87
Issue number24
StatePublished - Dec 10 2001
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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