SELECTING BETWEEN MULTIPLE AUTOMATED ASSISTANTS BASED ON INVOCATION PROPERTIES

    公开(公告)号:US20230186909A1

    公开(公告)日:2023-06-15

    申请号:US17550060

    申请日:2021-12-14

    Applicant: GOOGLE LLC

    CPC classification number: G10L15/22 G10L15/02 G10L15/08

    Abstract: Systems and methods for determining, based on invocation input that is common to multiple automated assistants, which automated assistant to invoke in lieu of invoking other automated assistants. The invocation input is processed to determine one or more invocation features that may be utilized to determine which, of a plurality of candidate automated assistants, to invoke. Further, additional features are processed that can indicate which, of the plurality of invocable automated assistants, to invoke. Once an automated assistant has been invoked, additional audio data and/or features of additional audio data are provided to the invoked automated assistant for further processing.

    SPECIFYING PREFERRED INFORMATION SOURCES TO AN ASSISTANT

    公开(公告)号:US20230186908A1

    公开(公告)日:2023-06-15

    申请号:US17548074

    申请日:2021-12-10

    Applicant: GOOGLE LLC

    Abstract: Implementations relate to interactions between a user and an automated assistant during a dialog between the user and the automated assistant. Some implementations relate to processing received user request input to determine that it is of a particular type that is associated with a source parameter rule and, in response, causing one or more sources indicated as preferred by the source parameter rule and one or more additional sources not indicated by the source parameter rule to be searched based on the user request input. Further, those implementations relate to identifying search results of the search(es), and generating, in dependence on the search results, a response to the user request that includes content from search result(s) of the preferred source(s) and/or content from search result(s) of the additional source(s). Generating the response further includes including, in the response, some indication that indicates whether the source parameter rule was followed or violated in generating the response.

    Familiarity Based Route Generation
    185.
    发明申请

    公开(公告)号:US20230123323A1

    公开(公告)日:2023-04-20

    申请号:US16972448

    申请日:2020-07-06

    Abstract: Methods, systems, devices, and tangible non-transitory computer readable media for route familiarity determination and route generation are provided. The disclosed technology can include accessing route data. The route data can include information associated with a starting location and a destination. Routes from the starting location to the destination can be determined based at least in part on the route data. Amounts of familiarity with one or more historical routes that were previously traveled by a user can be determined based on historical route data. Similarities between the one or more routes and the one or more historical routes can be determined based on the historical route data. Suggested routes can be determined based on the routes that satisfy one or more criteria associated with the amounts of familiarity and the similarities. Output including indications associated with the user traveling the one or more suggested routes can be generated.

    SMART ADVANCED CONTENT RETRIEVAL
    186.
    发明申请

    公开(公告)号:US20230068252A1

    公开(公告)日:2023-03-02

    申请号:US17982368

    申请日:2022-11-07

    Applicant: GOOGLE LLC

    Abstract: Methods, systems, and apparatuses for implementing advanced content retrieval are described. Machine learning methods may be implemented so that a system may predict when a user device may experience network disconnections. The system may also predict the type of content one or more applications on the user device may seek to download during the network disconnection period. Neural networks may be trained based on user activity log data and may implement machine-learning techniques to determine user preferences and settings for advanced content retrieval. The system may predict when a user may want to download content in advance, the type of content the user may be interested in, anticipated network connectivity, and anticipated battery consumption. The system may then generate recommendations for the user device based on the predictions. If a user agrees with the recommendations, the system may obtain and cache the content.

    INFERRING SEMANTIC LABEL(S) FOR ASSISTANT DEVICE(S) BASED ON DEVICE-SPECIFIC SIGNAL(S)

    公开(公告)号:US20230044403A1

    公开(公告)日:2023-02-09

    申请号:US17972199

    申请日:2022-10-24

    Applicant: GOOGLE LLC

    Abstract: Implementations can identify a given assistant device from among a plurality of assistant devices in an ecosystem, obtain device-specific signal(s) that are generated by the given assistant device, process the device-specific signal(s) to generate candidate semantic label(s) for the given assistant device, select a given semantic label for the given semantic device from among the candidate semantic label(s), and assigning, in a device topology representation of the ecosystem, the given semantic label to the given assistant device. Implementations can optionally receive a spoken utterance that includes a query or command at the assistant device(s), determine a semantic property of the query or command matches the given semantic label to the given assistant device, and cause the given assistant device to satisfy the query or command.

    LIMITING PROVISION AND DISPLAY OF REDUNDANT DIGITAL COMPONENTS ON A CLIENT DEVICE

    公开(公告)号:US20230038126A1

    公开(公告)日:2023-02-09

    申请号:US17428764

    申请日:2020-11-23

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for limiting provision and display of redundant digital components on a client. Methods can include storing, by a client device, a list of digital components specifying digital components available for provision to the client device. For a first digital component received within a first application, the client device detects a set of signals specifying a first user interaction with the first digital component and a second user interaction with content provided in response to the first user interaction. Based on whether an affirmative user action was performed, the client device can modify the list of digital components. When a request to access a content page within a second application is received, the client device can receive the second digital component, which can be selected from among digital components included on the modified list of digital components.

    COMBINING PARAMETERS OF MULTIPLE SEARCH QUERIES THAT SHARE A LINE OF INQUIRY

    公开(公告)号:US20220414093A1

    公开(公告)日:2022-12-29

    申请号:US17903449

    申请日:2022-09-06

    Applicant: GOOGLE LLC

    Abstract: Methods, systems, and computer readable media related to generating a combined search query based on search parameters of a current search query of a user and search parameters of one or more previously submitted search quer(ies) of the user that are determined to be of the same line of inquiry as the current search query. Two or more search queries may be determined to share a line of inquiry when it is determined that they are within a threshold level of semantic similarity to one another. Once a shared line of inquiry has been identified and a combined search query generated, users may interact with the search parameters and/or the search results to update the search parameters of the combined search query.

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