ACCURATE AND INTERPRETABLE RULES FOR USER SEGMENTATION

    公开(公告)号:US20220058503A1

    公开(公告)日:2022-02-24

    申请号:US17519935

    申请日:2021-11-05

    Applicant: Adobe Inc.

    Abstract: Various embodiments describe user segmentation. In an example, potential rules are generated by applying a frequency-based analysis to user interaction data points. Each of the potential rules includes a set of attributes of the user interaction data points and indicates that these data points belong to a segment of interest. An objective function is used to select an optimal set of rules from the potential rules for the segment of interest. The potential rules are used as variable inputs to the objective function and this function is optimized based on interpretability and accuracy parameters. Each rule from the optimal set is associated with a group of the segment of interest. The user interaction data points are segments into the groups by matching attributes of these data points with the rules.

    ACCURATE AND INTERPRETABLE RULES FOR USER SEGMENTATION

    公开(公告)号:US20190180193A1

    公开(公告)日:2019-06-13

    申请号:US15837929

    申请日:2017-12-11

    Applicant: Adobe Inc.

    Abstract: Various embodiments describe user segmentation. In an example, potential rules are generated by applying a frequency-based analysis to user interaction data points. Each of the potential rules includes a set of attributes of the user interaction data points and indicates that these data points belong to a segment of interest. An objective function is used to select an optimal set of rules from the potential rules for the segment of interest. The potential rules are used as variable inputs to the objective function and this function is optimized based on interpretability and accuracy parameters. Each rule from the optimal set is associated with a group of the segment of interest. The user interaction data points are segments into the groups by matching attributes of these data points with the rules.

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