NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

    公开(公告)号:US20230196196A1

    公开(公告)日:2023-06-22

    申请号:US17994416

    申请日:2022-11-28

    CPC classification number: G06N20/00

    Abstract: An information processing device classifies a plurality of linear models, each of which includes one or more variables, into a plurality of groups in such a way that the linear models which include identical variables included in each of the plurality of linear models and which have identical coefficient encoding with respect to the variables are grouped in the same group, outputs a first question used in deciding degree of importance of each explanatory variable included in training data which is used in training of the plurality of linear models, and, decides on an explanatory variable about which a second question is to be asked, when a linear model in which the degree of importance is reflected is to be selected from the plurality of linear models, based on extent of decrease in number of target groups for selection according to an answer to the first question.

    RECOMMENDATION METHOD AND INFORMATION PROCESSING APPARATUS

    公开(公告)号:US20230131330A1

    公开(公告)日:2023-04-27

    申请号:US18089574

    申请日:2022-12-28

    Abstract: An information processing apparatus obtains a plurality of attribute datasets including a subject attribute dataset, which are each a combination of a plurality of item values, and information indicating an area range that is taken as a target in a dimensional space. The information processing apparatus then performs a determination process of determining a change-target item value to be changed from among the plurality of item values of the subject attribute dataset and a changing direction for the change-target item value on the basis of the distribution of at least some of the plurality of attribute datasets in the dimensional space. The information processing apparatus outputs information indicating a result of changes made by alternately iterating a changing process of changing the change-target item value and the determination process that follows the changing process until the subject attribute dataset is within the area range.

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