RECOMMENDING ACTION(S) BASED ON ENTITY OR ENTITY TYPE

    公开(公告)号:US20230274090A1

    公开(公告)日:2023-08-31

    申请号:US18144707

    申请日:2023-05-08

    Applicant: GOOGLE LLC

    CPC classification number: G06F40/295 G06F40/205 G06F40/279 G10L15/19

    Abstract: Implementations are described herein for recommending actions based on entity or entity type. In various implementations, a partial free-form natural language input may be received from a user at an input component of a computing device. The partial free-form natural language input may identify an entity without identifying a responsive action and may be directed by the user to an automated assistant that operates at least in part on the computing device. The partial free-form natural language input may be analyzed to identify the entity. Based on the identified entity, a plurality or superset of candidate responsive actions may be identified, filtered, and/or ranked based on one or more signals. The automated assistant may then provide output that recommends one or more of the candidate responsive actions based on the ranking and/or filtering.

    Multimodal transmission of packetized data

    公开(公告)号:US10748541B2

    公开(公告)日:2020-08-18

    申请号:US16666780

    申请日:2019-10-29

    Applicant: Google LLC

    Abstract: A system of multi-modal transmission of packetized data in a voice activated data packet based computer network environment is provided. A natural language processor component can parse an input audio signal to identify a request and a trigger keyword. Based on the input audio signal, a direct action application programming interface can generate a first action data structure, and a content selector component can select a content item. An interface management component can identify first and second candidate interfaces, and respective resource utilization values. The interface management component can select, based on the resource utilization values, the first candidate interface to present the content item. The interface management component can provide the first action data structure to the client computing device for rendering as audio output, and can transmit the content item converted for a first modality to deliver the content item for rendering from the selected interface.

    Recommending action(s) based on entity or entity type

    公开(公告)号:US12147767B2

    公开(公告)日:2024-11-19

    申请号:US18144707

    申请日:2023-05-08

    Applicant: GOOGLE LLC

    Abstract: Implementations are described herein for recommending actions based on entity or entity type. In various implementations, a partial free-form natural language input may be received from a user at an input component of a computing device. The partial free-form natural language input may identify an entity without identifying a responsive action and may be directed by the user to an automated assistant that operates at least in part on the computing device. The partial free-form natural language input may be analyzed to identify the entity. Based on the identified entity, a plurality or superset of candidate responsive actions may be identified, filtered, and/or ranked based on one or more signals. The automated assistant may then provide output that recommends one or more of the candidate responsive actions based on the ranking and/or filtering.

    Recommending action(s) based on entity or entity type

    公开(公告)号:US11790173B2

    公开(公告)日:2023-10-17

    申请号:US17082580

    申请日:2020-10-28

    Applicant: Google LLC

    CPC classification number: G06F40/295 G06F40/205 G06F40/279 G10L15/19

    Abstract: In various implementations described herein, a partial free-form natural language input may be received from a user at an input component of a computing device. The partial free-form natural language input may identify an entity without identifying a responsive action and may be directed by the user to an automated assistant that operates at least in part on the computing device. The partial free-form natural language input may be analyzed to identify the entity. Based on the identified entity, a plurality or superset of candidate responsive actions may be identified, filtered, and/or ranked based on one or more signals. The automated assistant may then provide output that recommends one or more of the candidate responsive actions based on the ranking and/or filtering.

    Multimodal transmission of packetized data

    公开(公告)号:US11705121B2

    公开(公告)日:2023-07-18

    申请号:US16936972

    申请日:2020-07-23

    Applicant: Google LLC

    Abstract: A system of multi-modal transmission of packetized data in a voice activated data packet based computer network environment is provided. A natural language processor component can parse an input audio signal to identify a request and a trigger keyword. Based on the input audio signal, a direct action application programming interface can generate a first action data structure, and a content selector component can select a content item. An interface management component can identify first and second candidate interfaces, and respective resource utilization values. The interface management component can select, based on the resource utilization values, the first candidate interface to present the content item. The interface management component can provide the first action data structure to the client computing device for rendering as audio output, and can transmit the content item converted for a first modality to deliver the content item for rendering from the selected interface.

    Multimodal transmission of packetized data

    公开(公告)号:US10593329B2

    公开(公告)日:2020-03-17

    申请号:US16039204

    申请日:2018-07-18

    Applicant: Google LLC

    Abstract: A system of multi-modal transmission of packetized data in a voice activated data packet based computer network environment is provided. A natural language processor component can parse an input audio signal to identify a request and a trigger keyword. Based on the input audio signal, a direct action application programming interface can generate a first action data structure, and a content selector component can select a content item. An interface management component can identify first and second candidate interfaces, and respective resource utilization values. The interface management component can select, based on the resource utilization values, the first candidate interface to present the content item. The interface management component can provide the first action data structure to the client computing device for rendering as audio output, and can transmit the content item converted for a first modality to deliver the content item for rendering from the selected interface.

    RECOMMENDING ACTION(S) BASED ON ENTITY OR ENTITY TYPE

    公开(公告)号:US20220129631A1

    公开(公告)日:2022-04-28

    申请号:US17082580

    申请日:2020-10-28

    Applicant: Google LLC

    Abstract: Implementations are described herein for recommending actions based on entity or entity type. In various implementations, a partial free-form natural language input may be received from a user at an input component of a computing device. The partial free-form natural language input may identify an entity without identifying a responsive action and may be directed by the user to an automated assistant that operates at least in part on the computing device. The partial free-form natural language input may be analyzed to identify the entity. Based on the identified entity, a plurality or superset of candidate responsive actions may be identified, filtered, and/or ranked based on one or more signals. The automated assistant may then provide output that recommends one or more of the candidate responsive actions based on the ranking and/or filtering.

    MULTIMODAL TRANSMISSION OF PACKETIZED DATA
    8.
    发明申请

    公开(公告)号:US20200066274A1

    公开(公告)日:2020-02-27

    申请号:US16666780

    申请日:2019-10-29

    Applicant: Google LLC

    Abstract: A system of multi-modal transmission of packetized data in a voice activated data packet based computer network environment is provided. A natural language processor component can parse an input audio signal to identify a request and a trigger keyword. Based on the input audio signal, a direct action application programming interface can generate a first action data structure, and a content selector component can select a content item. An interface management component can identify first and second candidate interfaces, and respective resource utilization values. The interface management component can select, based on the resource utilization values, the first candidate interface to present the content item. The interface management component can provide the first action data structure to the client computing device for rendering as audio output, and can transmit the content item converted for a first modality to deliver the content item for rendering from the selected interface.

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