Intelligent home screen of cloud-based content management platform

    公开(公告)号:US11922188B2

    公开(公告)日:2024-03-05

    申请号:US17745834

    申请日:2022-05-16

    Applicant: Google LLC

    Abstract: A method of providing a workspace graphical user interface (GUI) for a user of a cloud-based content management platform includes providing the workspace GUI for the user via the cloud-based content management platform. The workspace GUI presents visual representations of documents stored on the user's cloud storage of the cloud-based content management platform and visual representations of workspaces created by the user. Each workspace includes a set of documents previously added to a respective workspace by the user and stored on the user's cloud storage. The method further includes receiving, via the workspace GUI, a user input with respect to a corresponding document stored on the user's cloud storage. The user input indicates a request to add the corresponding document to a particular workspace. The method further includes modifying a visual representation of the particular workspace to add the corresponding document to the particular workspace, and allowing the user to perform an action pertaining to content of the corresponding document in the workspace GUI without opening a document editing application associated with the corresponding document.

    Intelligent people-centric predictions in a collaborative environment

    公开(公告)号:US11372522B2

    公开(公告)日:2022-06-28

    申请号:US15841185

    申请日:2017-12-13

    Applicant: Google LLC

    Abstract: A method for predicting one or more collaborators provided by a cloud-based content management platform includes identifying, for a user of a cloud-based content management platform, a plurality of other users of the cloud-based content management platform that have a relationship with the user and are associated with a plurality of documents hosted by the cloud-based content management platform, predicting one or more collaborators for the user based on collaboration attributes of the plurality of other users, and providing for presentation to the user, information identifying the one or more collaborators to direct the user to a subset of documents from the plurality of documents hosted by the cloud-based content management platform, the subset of documents each being associated with one of the predicted one or more collaborators.

    REAL-TIME ANTICIPATION OF USER INTEREST IN INFORMATION CONTAINED IN DOCUMENTS IN CLOUD STORAGE

    公开(公告)号:US20250103867A1

    公开(公告)日:2025-03-27

    申请号:US18472178

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

    INTELLIGENT SERENDIPITOUS DOCUMENT DISCOVERY NOTIFICATIONS

    公开(公告)号:US20210165829A1

    公开(公告)日:2021-06-03

    申请号:US17262697

    申请日:2018-08-21

    Applicant: GOOGLE LLC

    Abstract: A method of notifying a document to a user of a cloud-based content management platform including identifying a first set of documents, wherein the first set of documents is hosted by the cloud-based content management platform and does not include one or more documents recently opened by the user, identifying one or more target documents from the first set of documents for the user based on an amount of overlap in topicality between a respective document and a users current working set of documents, a number of view events of the respective document, and a number of collaborative events associated with the respective document, wherein the users current working set of documents comprises documents the user has accessed within a last predetermined time period via the cloud-based content management platform, providing a graphical user interface (GUI) of a cloud storage of the user hosted by the cloud-based content management platform for presentation to the user, the GUI identifying the one or more target documents.

    PROVIDING GENERATIVE ANSWERS INCLUDING CITATIONS TO SOURCE DOCUMENTS

    公开(公告)号:US20250103640A1

    公开(公告)日:2025-03-27

    申请号:US18472190

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

    Intelligent document notifications based on user comments

    公开(公告)号:US11531808B2

    公开(公告)日:2022-12-20

    申请号:US17043612

    申请日:2018-08-21

    Applicant: GOOGLE LLC

    Abstract: A method of notifying a user of a cloud-based content management platform of a comment made in a document associated with the user includes determining a set of comments associated with documents to which the user has access via the cloud-based content management platform, the set of comments including one or more comments added by other users to each document within a last predetermined time period, selecting one or more comments from the set of comments for notification to the user, the selecting being based at least on interactions of the user with a comment thread associated with each comment from the set of comments and characteristics of the comment thread, wherein a comment thread is a group of a plurality of comments comprising a first comment and a second comment added in reply to the first comment, determining one or more documents associated with the one or more selected comments, and providing a graphical user interface (GUI) of a cloud storage of the user hosted by the cloud-based content management platform for presentation to the user, the GUI identifying the one or more documents and, for each identified document, a respective selected comment associated with the identified document.

    Intelligent home screen of cloud-based content management platform

    公开(公告)号:US11334375B2

    公开(公告)日:2022-05-17

    申请号:US17262165

    申请日:2018-08-21

    Applicant: GOOGLE LLC

    Abstract: A method of providing a home screen graphical user interface (GUI) for a user of a cloud-based content management platform includes providing the home screen GUI for the user via the cloud-based content management platform. The home screen GUI includes a first area providing visual representations of documents stored on the users cloud storage of the cloud-based content management platform and a second area providing visual representations of workspaces created by the user. Each workspace includes a set of documents previously added to a respective workspace by the user and stored on the users cloud storage. The method further includes receiving, via the first area of the home screen GUI, a user input with respect to a visual representation of a document stored on the users cloud storage. The user input indicates a request to add the document to a particular workspace. The method further includes modifying a visual representation of the particular workspace in the second area to add the document to the particular workspace.

    INTELLIGENT PEOPLE-CENTRIC PREDICTIONS IN A COLLABORATIVE ENVIRONMENT

    公开(公告)号:US20190179494A1

    公开(公告)日:2019-06-13

    申请号:US15841185

    申请日:2017-12-13

    Applicant: Google LLC

    Abstract: A method for predicting one or more collaborators provided by a cloud-based content management platform includes identifying, for a user of a cloud-based content management platform, a plurality of other users of the cloud-based content management platform that have a relationship with the user and are associated with a plurality of documents hosted by the cloud-based content management platform, predicting one or more collaborators for the user based on collaboration attributes of the plurality of other users, and providing for presentation to the user, information identifying the one or more collaborators to direct the user to a subset of documents from the plurality of documents hosted by the cloud-based content management platform, the subset of documents each being associated with one of the predicted one or more collaborators.

    PROVIDING PERSONALIZED PROMPTS TO USERS BASED ON DOCUMENTS IN CLOUD STORAGE

    公开(公告)号:US20250103827A1

    公开(公告)日:2025-03-27

    申请号:US18472167

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

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