MACHINE LEARNING-BASED FUTURE INNOVATION PREDICTION METHOD AND SYSTEM THEREFOR

    公开(公告)号:US20230186113A1

    公开(公告)日:2023-06-15

    申请号:US17905316

    申请日:2021-01-18

    CPC classification number: G06N5/022 G06Q50/184

    Abstract: Disclosed are a machine learning-based future innovation prediction method and a system therefor. The machine learning-based future innovation prediction method according to an embodiment of the present invention may comprise the steps of: collecting patent data for each of predetermined companies, data relating to research and development of each of the companies, and performance data during a predetermined period; classifying feature sets according to respective features by using each piece of the collected data; and predicting future innovation of a corresponding company on the basis of machine learning using the classified feature sets as inputs, wherein the collecting step includes collecting patent data including the number of claims, an assignee, the number of assignees, an inventor, the number of inventors, the number of backward citations, and the number of forward citations for each of registered patents during a predetermined period with respect to each of the companies.

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