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MACHINE LEARNING-BASED FUTURE INNOVATION PREDICTION METHOD AND SYSTEM THEREFOR

机译:基于机器学习的未来创新预测方法和系统

摘要

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.
机译:公开了一种基于机器学习的未来创新预测方法和系统。 根据本发明实施例的基于机器学习的未来创新预测方法可以包括以下步骤:为每个预定的公司提供专利数据,与每个公司的研究和开发有关的数据以及在预定的情况下的性能数据 时期; 通过使用每条收集的数据来根据各个特征进行分类特征; 使用分类特征集作为输入的机器学习来预测相应公司的未来创新,其中收集步骤包括收集包括索赔的数量,受让人,指派者,发明人数的专利数据,其中的专利数据 发明人,落后引用的数量,以及每个公司的预定期间每个登记专利的前向引用的数量。

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