INTELLIGENT REPORTING WITHIN ONLINE COMMUNITIES

    公开(公告)号:US20250071157A1

    公开(公告)日:2025-02-27

    申请号:US18238414

    申请日:2023-08-25

    Abstract: Systems and methods of intelligent reporting within online communities are provided. A current communication session associated with a plurality of user device may be monitored. The current communication session may include a stream of audio-visual content generated in real-time based on interactions between the user devices. A recording trigger may be detected within the current communication session. A recording of a portion of the stream of audio-visual content may be recorded in response to the detected trigger event. The recording may be analyzed to attribute one or more sub-portions within the recording to one or more of the user devices. At least one of the sub-portions attributed to an identified one of the user devices may be determined to meet a moderation event. A report regarding the identified user device may be generated that includes the at least one sub-portion that meets the moderation event.

    Method of computerized presentation of a legend of object symbols on a document

    公开(公告)号:US12236184B2

    公开(公告)日:2025-02-25

    申请号:US17531479

    申请日:2021-11-19

    Applicant: Bluebeam, Inc.

    Abstract: A method of computerized presentation of a legend of object symbols on a document. The method includes receiving a document having object symbols. Each object symbol includes a graphical representation, an object symbol type and an object type numerical value. The method includes generating one or more groups of object symbols of the one or more object symbols based upon the object symbol type of each of the object symbols. The method includes deriving a group cumulative quantity for each group of object symbols based upon the object type numerical value of each object symbol in each group of object symbols. The method includes generating a legend including a one or more legend entries corresponding to each of the one or more groups of object symbols. Each legend entry includes a group type symbol, the object symbol type, and a group cumulative quantity. The method includes displaying the legend.

    INTELLIGENT CAPTURING OF USER-VIEWED CONTENT FOR NOTE KEEPING

    公开(公告)号:US20250053728A1

    公开(公告)日:2025-02-13

    申请号:US18446812

    申请日:2023-08-09

    Abstract: A device for generating archival notes for a user based on content a user has located electronically and viewed on a display device includes: a display for presenting information to a user, a user interface for receiving user input from the user; a processor; and a memory storing executable instructions which, when executed by the processor, cause the processor, alone or in combination with other processors, to perform the following: capturing information on the display; operating a prompt generator to structure a prompt for a generative Artificial Intelligence (AI) model, the prompt based on the information captured from the display and causing the AI model to generate a note based on the information captured; and storing the note in a user data structure for future reference by the user.

    Document mark-up and navigation using natural language processing

    公开(公告)号:US12216983B2

    公开(公告)日:2025-02-04

    申请号:US17594217

    申请日:2020-09-29

    Applicant: Google LLC

    Abstract: A method includes obtaining a text document, generating a first mark-up of the text document by a first natural language processing (NLP) model, and displaying the text document and the first mark-up. The method also includes receiving a user interaction with a portion of the first mark-up. The portion of the first mark-up of the text document may be associated with a portion of the text document. The method additionally includes, based on the user interaction with the portion of the first mark-up, selecting a second NLP model by which to process the portion of the text document, where the second NLP model is different from the first NLP model. The method further includes, based on selecting the second NLP model, generating a second mark-up of the text document by processing at least the portion thereof by the second NLP model, and displaying the text document and the second mark-up.

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