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Method and system for recommending assistance offerings using multivariate random forest leveraging negative samples
Method and system for recommending assistance offerings using multivariate random forest leveraging negative samples
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机译:使用多变量随机森林利用负样品的多变量随机森林的方法和系统
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摘要
A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.
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