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公开(公告)号:US11669353B1
公开(公告)日:2023-06-06
申请号:US17643683
申请日:2021-12-10
Applicant: Whatfix Private Limited
Inventor: Abhishek Sanghai , Gourav H. Dhelaria , Raj Ganesh , Samvit Majumdar , Maruthi Priya Kanyaka Vara Kumar Namburu
IPC: H04L67/564 , G06F9/451 , H04L67/50
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.
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公开(公告)号:US11704232B2
公开(公告)日:2023-07-18
申请号:US17234743
申请日:2021-04-19
Applicant: Whatfix Private Limited
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.
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公开(公告)号:US11461090B2
公开(公告)日:2022-10-04
申请号:US16914227
申请日:2020-06-26
Applicant: Whatfix Private Limited
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.
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公开(公告)号:US11372661B2
公开(公告)日:2022-06-28
申请号:US16914219
申请日:2020-06-26
Applicant: Whatfix Private Limited
Inventor: Maruthi Priya Kanyaka Vara Kumar Namburu , Aashish Jain , Animesh Agarwal , Subhadeep Guin
IPC: G06F17/10 , G06F9/451 , G06F16/957 , G06F16/955
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.
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公开(公告)号:US12001501B1
公开(公告)日:2024-06-04
申请号:US18174760
申请日:2023-02-27
Applicant: Whatfix Private Limited
Inventor: Sahil Sachdeva , Shreyas Arunkumar
IPC: G06F16/957 , G06F3/04812 , G06F3/0482
CPC classification number: G06F16/957 , G06F3/04812 , G06F3/0482
Abstract: A technique for inspecting screen elements of a mobile device with a laptop or desktop computer displays a screen-shot of the mobile device. Visible screen elements are identified as the user moves a user interface pointer over the screen-shot. Individual screen elements are highlighted and a user may select individual screen elements. Additional information regarding screen element identification and attributes may be displayed. The screen element attributes may be captured for use in generating DAP content for a mobile device.
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公开(公告)号:US11846967B1
公开(公告)日:2023-12-19
申请号:US17982633
申请日:2022-11-08
Applicant: WHATFIX PRIVATE LIMITED
Inventor: Aashish Jain , Pushkar Garg , Nipun Phutela
IPC: G06F3/0482 , G06F3/04842
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.
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公开(公告)号:US20230267851A1
公开(公告)日:2023-08-24
申请号:US18305293
申请日:2023-04-21
Applicant: Whatfix Private Limited
Inventor: Abhishek SANGHAI , Gourav H. DHELARIA , Raj GANESH , Samvit MAJUMDAR , Maruthi Priya Kanyaka Vara Kumar NAMBURU
IPC: G09B19/00
CPC classification number: G09B19/0053
Abstract: Provided herein are systems and methods for hyper-personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, gathering usage data at a user level for n days, choosing at least two methods from the group consisting of sequence analysis, top popular analysis, repeat usage analysis, similar users analysis and popular analysis, combining results from the at least two chosen methods, and recommending content to a recommendation user based upon the combined results.
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公开(公告)号:US20230185590A1
公开(公告)日:2023-06-15
申请号:US17643683
申请日:2021-12-10
Applicant: Whatfix Private Limited
Inventor: Abhishek SANGHAI , Gourav H. DHELARIA , Raj GANESH , Samvit MAJUMDAR , Maruthi Priya Kanyaka Vara Kumar NAMBURU
IPC: G06F9/451 , H04L67/50 , H04L67/564
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.
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