System and method for personalizing digital guidance content

    公开(公告)号:US11669353B1

    公开(公告)日:2023-06-06

    申请号:US17643683

    申请日:2021-12-10

    CPC classification number: G06F9/453 H04L67/535 H04L67/564

    Abstract: Provided herein are systems and methods for personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, identifying different pages of the application, gathering usage data at a user level for n days, creating a user behavior matrix from the gathered data, performing a user similarity calculation for each pair of the users, tabulating a consumption count for each of the users, performing a series of score calculations for a recommendation user, calculating an intermediate score for each piece of content, counting a number of users who clicked on each piece of content, obtaining a final score for each piece of content, deciding on a ranking order of the content based on the final scores, and recommending content to the recommendation user from the ranking step.

    System and method for automatic testing of digital guidance content

    公开(公告)号:US11704232B2

    公开(公告)日:2023-07-18

    申请号:US17234743

    申请日:2021-04-19

    CPC classification number: G06F11/3688 G06F11/3072 G06F11/3684 G06F11/3692

    Abstract: Provided herein are systems and methods for creating, testing and providing digital guidance for use in an underlying computer application. In one exemplary implementation, a method includes using a browser extension to record steps of digital guidance content as the steps are created by a content author, automatically testing the content with the same browser and making the tested content available for playback. The testing may include receiving an execute testing command, fetching test case data from a server, executing a test case in the browser using the test case data, running tests on the test case in a background tab of the browser, recording passes and or failures of the tests, sending reports of the passes and failures to the server, sending a notification to the content author that the testing results are ready to view, and displaying the testing results in the dashboard.

    Element detection
    3.
    发明授权

    公开(公告)号:US11461090B2

    公开(公告)日:2022-10-04

    申请号:US16914227

    申请日:2020-06-26

    Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.

    System and method for automatic segmentation of digital guidance content

    公开(公告)号:US11372661B2

    公开(公告)日:2022-06-28

    申请号:US16914219

    申请日:2020-06-26

    Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

    System and method for creating at least one step for providing digital guidance to an underlying application

    公开(公告)号:US11846967B1

    公开(公告)日:2023-12-19

    申请号:US17982633

    申请日:2022-11-08

    CPC classification number: G06F3/0482 G06F3/04842

    Abstract: A system and method to create at least one step for providing digital guidance to an underlying application is disclosed. The system comprising one or more user devices in communication with a server, the user device comprising a processor configured to: scan the underlying application for identifying one or more elements; select at least one target element; determine neighbouring element in proximity of the target element; analyse elements to determine attributes including unique attributes; classify as a pillar element depending upon presence of unique attributes; determine an intersection element between the target element and the pillar element; and determine path of the intersection element, store path of the intersection element, the path of the intersection element enables identification of the intersection element and based on the intersection element, the pillar element and the target element associated with the intersection element can be identified.

    SYSTEM AND METHOD FOR PERSONALIZING DIGITAL GUIDANCE CONTENT

    公开(公告)号:US20230185590A1

    公开(公告)日:2023-06-15

    申请号:US17643683

    申请日:2021-12-10

    CPC classification number: G06F9/453 H04L67/22 H04L67/2819

    Abstract: Provided herein are systems and methods for personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, identifying different pages of the application, gathering usage data at a user level for n days, creating a user behavior matrix from the gathered data, performing a user similarity calculation for each pair of the users, tabulating a consumption count for each of the users, performing a series of score calculations for a recommendation user, calculating an intermediate score for each piece of content, counting a number of users who clicked on each piece of content, obtaining a final score for each piece of content, deciding on a ranking order of the content based on the final scores, and recommending content to the recommendation user from the ranking step.

Patent Agency Ranking