Electronic document management system with a content recommendation interface

    公开(公告)号:US11875020B1

    公开(公告)日:2024-01-16

    申请号:US17955479

    申请日:2022-09-28

    CPC classification number: G06F3/0483

    Abstract: A computer-implemented method is disclosed. The method includes causing display, in a graphical user interface on a client device, of a page with a navigational panel including a selectable tree element having a hierarchical relationship to a current electronic page having its user-generated content being displayed in a content panel. The method includes identifying a set of candidate cards in which each card is associated with a respective electronic page and has a respective relatedness score. The method includes identifying a user profile in accordance with an authentication of an user operating the client device, and selecting, from the set of candidate cards, a subset of candidate cards satisfying permissions criteria based on permissions identified in the user profile. The method includes causing display of the subset of candidate cards within the content panel in accordance with the respective relatedness score for each card in the subset of candidate cards.

    LABEL MANAGEMENT SYSTEM FOR AN ELECTRONIC DOCUMENT MANAGEMENT SERVICE

    公开(公告)号:US20240394294A1

    公开(公告)日:2024-11-28

    申请号:US18794508

    申请日:2024-08-05

    Abstract: The disclosure is directed to a document management system having a label management user interface. The document management system may be configured to display document content in either a document view mode or a document edit mode in which document content is displayed in a content panel of the graphical user interface. When in the document view mode and an authenticated user has edit permissions with respect to a current document, the graphical user interface is configured to display a label management user interface including an array of user-selectable label graphical objects and a list of recommended labels selected in accordance with a label score. The label score for each recommended label is determined with respect to the current document based on a set of multiple heuristics including proximity of the document with respect to other labeled documents in a hierarchical element tree.

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