MINIMIZING REGRET THROUGH ACTIVE LEARNING FOR TRANSACTION CATEGORIZATION

    公开(公告)号:WO2021262381A1

    公开(公告)日:2021-12-30

    申请号:PCT/US2021/034388

    申请日:2021-05-27

    Applicant: INTUIT INC.

    Abstract: Aspects of the present disclosure provide techniques for training a machine learning model. Embodiments include determining a set of unlabeled user transaction records associated with a user. Embodiments include selecting a first unlabeled user transaction record associated with a first vendor from the set of unlabeled user transaction records based on a transaction record prioritization scheme. Embodiments include presenting the first unlabeled user transaction record to the user in a label query. Embodiments include receiving, from the user in response to the label query, a label of a first account for the first unlabeled user transaction record. Embodiments include selecting a second unlabeled user transaction record associated with a second vendor from the set of unlabeled user transaction records based on: the transaction record prioritization scheme, and a determination that the second vendor is least likely to be categorized by the user in the first account.

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