Facilitating user device and/or agent device actions during a communication session

    公开(公告)号:US11941420B2

    公开(公告)日:2024-03-26

    申请号:US17687316

    申请日:2022-03-04

    Applicant: Google LLC

    Abstract: Implementations are directed to facilitating user device and/or agent device actions during a communication session. An interactive communications system provides outputs, as outlined below, that are tailored to enhance the functionality of the communication session, reduce the number of dialog “turns” of the communications session and/or the number of user inputs to devices involved in the session, and/or otherwise mitigate consumption of network and/or hardware resources during the communication session. In various implementations, the communication session involves user device(s) of a user, agent device(s) of an agent, and the interactive communications system. The interactive communications system can analyze various communications from the user device(s) and/or agent device(s) during a communication session in which the user (via the user device(s)) directs various communications to the agent, and in which the agent (via the agent device(s)) optionally directs various communications to the user. The interactive communications system provides action performance element(s) and/or other output(s) that are each specific to a corresponding current intent and corresponding current action of the communication session.

    Facilitating user device and/or agent device actions during a communication session

    公开(公告)号:US11269666B2

    公开(公告)日:2022-03-08

    申请号:US16621769

    申请日:2018-08-22

    Applicant: Google LLC

    Abstract: Implementations are directed to facilitating user device and/or agent device actions during a communication session. An interactive communications system provides outputs, as outlined below, that are tailored to enhance the functionality of the communication session, reduce the number of dialog “turns” of the communications session and/or the number of user inputs to devices involved in the session, and/or otherwise mitigate consumption of network and/or hardware resources during the communication session. In various implementations, the communication session involves user device(s) of a user, agent device(s) of an agent, and the interactive communications system. The interactive communications system can analyze various communications from the user device(s) and/or agent device(s) during a communication session in which the user (via the user device(s)) directs various communications to the agent, and in which the agent (via the agent device(s)) optionally directs various communications to the user. The interactive communications system provides action performance element(s) and/or other output(s) that are each specific to a corresponding current intent and corresponding current action of the communication session.

    Associating a task with a user based on user selection of a query suggestion

    公开(公告)号:US12164546B2

    公开(公告)日:2024-12-10

    申请号:US18372489

    申请日:2023-09-25

    Applicant: GOOGLE LLC

    Abstract: Methods and apparatus related to associating a task with a user based on the user selecting a task suggestion that is provided to the user in response to a user query. In some implementations, the task may be identified based on similarities between the words and/or phrases of the user query and a task suggestion that is associated with a task. In some implementations, the task may be identified based on user data associated with the user. In some implementations, the task may be associated with additional information related to completing the task.

    FACILITATING USER DEVICE AND/OR AGENT DEVICE ACTIONS DURING A COMMUNICATION SESSION

    公开(公告)号:US20220188133A1

    公开(公告)日:2022-06-16

    申请号:US17687316

    申请日:2022-03-04

    Applicant: Google LLC

    Abstract: Implementations are directed to facilitating user device and/or agent device actions during a communication session. An interactive communications system provides outputs, as outlined below, that are tailored to enhance the functionality of the communication session, reduce the number of dialog “turns” of the communications session and/or the number of user inputs to devices involved in the session, and/or otherwise mitigate consumption of network and/or hardware resources during the communication session. In various implementations, the communication session involves user device(s) of a user, agent device(s) of an agent, and the interactive communications system. The interactive communications system can analyze various communications from the user device(s) and/or agent device(s) during a communication session in which the user (via the user device(s)) directs various communications to the agent, and in which the agent (via the agent device(s)) optionally directs various communications to the user. The interactive communications system provides action performance element(s) and/or other output(s) that are each specific to a corresponding current intent and corresponding current action of the communication session.

    Detour Based Content Selections
    18.
    发明申请

    公开(公告)号:US20190251597A1

    公开(公告)日:2019-08-15

    申请号:US16276921

    申请日:2019-02-15

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, for detour based content selection. In one aspect, a method includes receiving, at a data processing apparatus, location data for a plurality of users, the location data describing, for each user, locations of a user device of the user; determining, from the location data, route data for the plurality of users, the route data describing, for each user, a route traveled by the user; determining, by the data processing apparatus, for at least one or more of the users, a detour from the route traveled by the user to a retail location of the offeror; determining, by the data processing apparatus, for each of the at least one or more of the users, whether the user is eligible for an offer of the offeror based on the detour; and for each user eligible for an offer, enabling the offeror to provide an offer to the user.

    Portion-Specific Model Compression for Optimization of Machine-Learned Models

    公开(公告)号:US20240232686A1

    公开(公告)日:2024-07-11

    申请号:US18012292

    申请日:2022-07-29

    Applicant: Google LLC

    CPC classification number: G06N20/00

    Abstract: Systems and methods of the present disclosure are directed to portion-specific compression and optimization of machine-learned models. For example, a method for portion-specific compression and optimization of machine-learned models includes obtaining data descriptive of one or more respective sets of compression schemes for one or more model portions of a plurality of model portions of a machine-learned model. The method includes evaluating a cost function to respectively select one or more candidate compression schemes from the one or more sets of compression schemes. The method includes respectively applying the one or more candidate compression schemes to the one or more model portions to obtain a compressed machine-learned model comprising one or more compressed model portions that correspond to the one or more model portions.

    Determining additional features for a task entry based on a user habit

    公开(公告)号:US11734311B1

    公开(公告)日:2023-08-22

    申请号:US17200212

    申请日:2021-03-12

    Applicant: Google LLC

    CPC classification number: G06F16/284 G06F16/24565 G06F16/90324 G06F21/554

    Abstract: Methods and apparatus related to determining additional features for a user task entry of a user based on a user habit of the user. For example, one or more aspects of a user task entry of a user may be compared to one or more aspects of a user habit of the user to determine a correlation measure between the task entry and the user habit. If the correlation measure satisfies a threshold, one or more additional features of the user task entry may be determined based on the user habit. For example, the user habit may include one or more trigger indicators that indicate an actual entry or anticipated entry of the user into the user habit, and one or more of the trigger indicators may be utilized to determine task trigger indicators for the user task entry.

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