LEARNING SYSTEM FOR CURING USER ENGAGEMENT
    2.
    发明申请

    公开(公告)号:US20200211035A1

    公开(公告)日:2020-07-02

    申请号:US16237339

    申请日:2018-12-31

    Abstract: Disclosed are methods and systems for generating cure actions for improving a level of user engagement of a network. In some aspects, a method includes identifying network interaction relationships among a plurality of accounts of a computer network based on communication flows among the accounts, and tracking a level of engagement health of each of the accounts based on the interaction relationships over time. For each of the accounts, a determination is made as to whether the tracked level of engagement health meets a threshold requirement. For an account having a level of engagement health not meeting the threshold requirement, a cure action is selected based on one or more rules relating the tracked level of engagement health of the account to one or more predefined criteria. The cure action is then applied to the account.

    SOFTWARE FAILURE IMPACT AND SELECTION SYSTEM

    公开(公告)号:US20170351560A1

    公开(公告)日:2017-12-07

    申请号:US15171777

    申请日:2016-06-02

    CPC classification number: G06F11/3664

    Abstract: Bugs/events that are reported by both users and the product are used to build an estimation model that relates the frequency/amount of received user bug reports to the number of products that are known to have the bug (as reported by the deployed products themselves.) This estimation model is then used to estimate the impact of bugs that are only discovered via user (i.e., free-form, unstructured) bug reports. In addition, the discovery of a bug via only user bug reports can be used to improve the data reported by the deployed products such that more information can be gathered about the nature and/or impact of the bug.

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