ARTIFICIAL INTELLIGENCE DRIVEN PERSONALIZATION FOR ELECTRONIC MEETING CREATION AND FOLLOW-UP

    公开(公告)号:US20220284402A1

    公开(公告)日:2022-09-08

    申请号:US17192245

    申请日:2021-03-04

    摘要: A computing system obtains a keyword and an identifier for a user, where a meeting is to be scheduled between the user and at least one other individual. Based upon the keyword and the identifier for the user, the computing system obtains an identifier for an invitee to the meeting and/or an identifier for content that is to be included in an electronic invitation for the meeting via a computer-implemented user graph for the user. The computing system causes the identifier for the invitee and/or the content to be included in the electronic invitation. The electronic invitation for the meeting is transmitted to electronic accounts of invitees that are identified in the electronic invitation. Data is generated during the meeting by a meeting application that hosts the meeting, and the user graph is modified based upon the data. Subsequently, the computing system obtains a task via the modified user graph.

    COMPUTERIZED ASSISTANCE USING ARTIFICIAL INTELLIGENCE KNOWLEDGE BASE

    公开(公告)号:US20190318032A1

    公开(公告)日:2019-10-17

    申请号:US15952054

    申请日:2018-04-12

    IPC分类号: G06F17/30 G06N5/02

    摘要: A computerized personal assistant includes a natural language user interface, a natural language processing machine, an identity machine, and a knowledge-base updating machine. The knowledge-base updating machine is configured to update a user-centric artificial intelligence knowledge base associated with the particular user to include a new or updated user-centric fact based on the computer-readable representation of the user input, wherein the knowledge-base updating machine updates the user-centric artificial intelligence knowledge base via an update protocol useable by a plurality of different computer services.

    COMPUTING SYSTEM THAT FACILITATES TIME MANAGEMENT VIA GRAPH INTELLIGENCE

    公开(公告)号:US20240257062A1

    公开(公告)日:2024-08-01

    申请号:US18565439

    申请日:2022-05-05

    IPC分类号: G06Q10/109 G06Q10/0639

    CPC分类号: G06Q10/109 G06Q10/06393

    摘要: A computing system identifies a user graph for a user, where the user graph comprises nodes and edges connecting the nodes. The nodes comprise topic nodes and entity nodes representing documents of the user. The computing system identifies a cluster of the topic nodes corresponding to a productivity area of the user. The computing system performs a walk of the user graph based upon the cluster to identify activities performed by the user with respect to the productivity area within a period of time. The computing system computes a score for the productivity area based upon types of each of the activities and a number of times each of the activities were performed and causes graphical data to be presented on a display based upon the score. The graphical data may include the score and a suggestion to the user as to how to improve productivity.

    UNIFIED GRAPH GENERATION
    7.
    发明公开

    公开(公告)号:US20240004931A1

    公开(公告)日:2024-01-04

    申请号:US17854336

    申请日:2022-06-30

    IPC分类号: G06F16/901 G06F16/9038

    CPC分类号: G06F16/9024 G06F16/9038

    摘要: A method of generating a unified graph is described. First graph data is received from a first data source, nodes within the first graph data including first, second, and third fields. Second graph data is received from a second data source, nodes within the second graph data including first, second, and fourth fields. The unified graph is generated from the first and second graph data using aggregated fields of the first field and the third field as a unique identifier of a unified schema for nodes within the unified graph having a first type and aggregated fields of the first field and the fourth field as a unique identifier of the unified schema for nodes within the unified graph having a second type, wherein nodes of the unified graph represent entities and edges of the unified graph represent relationships among the entities.