Connected contact identification
    1.
    发明授权

    公开(公告)号:US10897520B2

    公开(公告)日:2021-01-19

    申请号:US16262488

    申请日:2019-01-30

    Abstract: A database server may analyze interaction data including communication to generate a graph representation of various users and connections between the users. The database server may utilize the graph representation of connections to identify sufficiently connected target user identifiers in one or more external organizations. A connection metric may be assigned to each user identifier of one or more groups of user identifiers generated using the graph representation, and the target user identifiers may be identified based on the connection metrics.

    CONNECTED CONTACT IDENTIFICATION
    2.
    发明申请

    公开(公告)号:US20200153934A1

    公开(公告)日:2020-05-14

    申请号:US16262488

    申请日:2019-01-30

    Abstract: A database server may analyze interaction data including communication to generate a graph representation of various users and connections between the users. The database server may utilize the graph representation of connections to identify sufficiently connected target user identifiers in one or more external organizations. A connection metric may be assigned to each user identifier of one or more groups of user identifiers generated using the graph representation, and the target user identifiers may be identified based on the connection metrics.

    Distributed hyperparameter tuning and load balancing for mathematical models

    公开(公告)号:US11928584B2

    公开(公告)日:2024-03-12

    申请号:US16778587

    申请日:2020-01-31

    CPC classification number: G06N3/08 H04L67/1001

    Abstract: Methods, systems, and devices for distributed hyperparameter tuning and load balancing are described. A device (e.g., an application server) may generate a first set of combinations of hyperparameter values associated with training a mathematical model. The mathematical model may include a machine learning model, an optimization model, or any combination. The device may identify a subset of combinations from the first set of combinations that are associated with a computational runtime that exceeds a first threshold and may distribute the subset of combinations across a set of machines. The device may then test each of the first set of combinations in a parallel processing operation to generate a first set of validation error values and may test a second set of combinations of hyperparameter values using an objective function that is based on the first set of validation error values.

    DISTRIBUTED HYPERPARAMETER TUNING AND LOAD BALANCING FOR MATHEMATICAL MODELS

    公开(公告)号:US20210241164A1

    公开(公告)日:2021-08-05

    申请号:US16778587

    申请日:2020-01-31

    Abstract: Methods, systems, and devices for distributed hyperparameter tuning and load balancing are described. A device (e.g., an application server) may generate a first set of combinations of hyperparameter values associated with training a mathematical model. The mathematical model may include a machine learning model, an optimization model, or any combination. The device may identify a subset of combinations from the first set of combinations that are associated with a computational runtime that exceeds a first threshold and may distribute the subset of combinations across a set of machines. The device may then test each of the first set of combinations in a parallel processing operation to generate a first set of validation error values and may test a second set of combinations of hyperparameter values using an objective function that is based on the first set of validation error values.

    CONTACT INFORMATION EXTRACTION AND IDENTIFICATION

    公开(公告)号:US20200153765A1

    公开(公告)日:2020-05-14

    申请号:US16262508

    申请日:2019-01-30

    Abstract: A database server may identify mentioned names in a body of a message and extract the names using name identification heuristics and algorithms. The service retrieves or utilizes a distributed connection graph to identify contacts associated with the parties to the conversation that may match or be similar to the mentioned name. Contacts may be scored based on similarities between the extracted name the names associated with nodes of the graph, as well as other factors. The highest scoring contact may be surfaced or displayed to one or more of the parties to the communication message.

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