SYSTEM AND METHOD FOR MODELING CORRELATION IN A SOURCING MODEL USING SIMILARITY MATRIX DECOMPOSITION

    公开(公告)号:US20230267244A1

    公开(公告)日:2023-08-24

    申请号:US17517241

    申请日:2021-11-02

    CPC classification number: G06F30/20 G06F17/16 G06F2111/10

    Abstract: Embodiments relate to a system for modeling correlation in a sourcing model. The system can include a processor configured to collect voting output from plural voting sources and store the voting output in memory. The system can include a correlation modeling module configured to retrieve at least two voting outputs from memory. In some embodiments each voting output is from a different voting source. The correlation modeling module can determine correlation among at least two voting sources by measuring consensus among the at least two voting sources using an agreement metric. The correlation modeling module can determine a degree of a first-order interaction among the at least two voting sources. The correlation modeling module can determine a degree of correlation among the at least two voting sources having a degree of first-order interaction.

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