CONDITIONAL RESPONSE FULFILLMENT CACHE FOR LOCALLY RESPONDING TO AUTOMATED ASSISTANT INPUTS

    公开(公告)号:US20220318248A1

    公开(公告)日:2022-10-06

    申请号:US17217671

    申请日:2021-03-30

    Applicant: Google LLC

    Abstract: Implementations set forth herein relate to conditionally caching responses to automated assistant queries according to certain contextual data that may be associated with each automated assistant query. Each query can be identified based on historical interactions between a user and an automated assistant, and—depending on the query, fulfillment data can be cached according to certain contextual data that influences the query response. Depending on how the contextual data changes, a cached response stored at a client device can be discarded and/or replaced with an updated cached response. For example, a query that users commonly ask prior to leaving for work can have a corresponding assistant response that depends on features of an environment of the users. This unique assistant response can be cached, before the users provide the query, to minimize latency that can occur when network or processing bandwidth is unpredictable.

    Using user input to adapt search results provided for presentation to the user

    公开(公告)号:US12223229B2

    公开(公告)日:2025-02-11

    申请号:US18403313

    申请日:2024-01-03

    Applicant: GOOGLE LLC

    Abstract: Methods, apparatus, and computer readable media related to interaction between a user and an automated assistant during a dialog between the user and the automated assistant. Some implementations are directed to adapting a graphical and/or audible presentation of search results provided by the automated assistant for presentation to the user. The adaptation may be in response to attribute(s), of one or more of the search results, referenced in spoken and/or typed textual input provided by the user during the dialog. Some of those implementations may enable a user to provide textual input to navigate the search results within the dialog and within resource and/or interface constraints associated with the dialog. Some of those implementations may additionally and/or alternatively enable adapting, based on textual input provided by a user to the automated assistant, when and/or whether search results having certain attributes are provided to the user by the automated assistant.

    USING USER INPUT TO ADAPT SEARCH RESULTS PROVIDED FOR PRESENTATION TO THE USER

    公开(公告)号:US20250013429A1

    公开(公告)日:2025-01-09

    申请号:US18886380

    申请日:2024-09-16

    Applicant: GOOGLE LLC

    Abstract: Methods, apparatus, and computer readable media related to interaction between a user and an automated assistant during a dialog between the user and the automated assistant. Some implementations are directed to adapting a graphical and/or audible presentation of search results provided by the automated assistant for presentation to the user. The adaptation may be in response to attribute(s), of one or more of the search results, referenced in spoken and/or typed textual input provided by the user during the dialog. Some of those implementations may enable a user to provide textual input to navigate the search results within the dialog and within resource and/or interface constraints associated with the dialog. Some of those implementations may additionally and/or alternatively enable adapting, based on textual input provided by a user to the automated assistant, when and/or whether search results having certain attributes are provided to the user by the automated assistant.

    DETERMINING MULTILINGUAL CONTENT IN RESPONSES TO A QUERY

    公开(公告)号:US20230084294A1

    公开(公告)日:2023-03-16

    申请号:US17475897

    申请日:2021-09-15

    Applicant: GOOGLE LLC

    Abstract: Implementations relate to determining multilingual content to render at an interface in response to a user submitted query. Those implementations further relate to determining a first language response and a second language response to a query that is submitted to an automated assistant. Some of those implementations relate to determining multilingual content that includes a response to the query in both the first and second languages. Other implementations relate to determining multilingual content that includes a query suggestion in the first language and a query suggestion in a second language. Some of those implementations relate to pre-fetching results for the query suggestions prior to rendering the multilingual content.

    Ranking communities based on content

    公开(公告)号:US11194874B1

    公开(公告)日:2021-12-07

    申请号:US15990490

    申请日:2018-05-25

    Applicant: Google LLC

    Abstract: Systems and methods for ranking communities based on content are described. A method includes receiving a search query from a user device of a first user of a social network. The method further includes analyzing content within groups of the social network to identify one or more of the groups that have content related to the search query. The method may further include ranking the identified groups for presentation of the identified groups in a ranked order on a client device in response to the search query, where ranking of the identified groups is based on a corresponding majority or total amount of members that have posted content matching the search query, and spam content used within the groups by members of the groups.

    DETERMINING MULTILINGUAL CONTENT IN RESPONSES TO A QUERY

    公开(公告)号:US20250037701A1

    公开(公告)日:2025-01-30

    申请号:US18912140

    申请日:2024-10-10

    Applicant: GOOGLE LLC

    Abstract: Implementations relate to determining multilingual content to render at an interface in response to a user submitted query. Those implementations further relate to determining a first language response and a second language response to a query that is submitted to an automated assistant. Some of those implementations relate to determining multilingual content that includes a response to the query in both the first and second languages. Other implementations relate to determining multilingual content that includes a query suggestion in the first language and a query suggestion in a second language. Some of those implementations relate to pre-fetching results for the query suggestions prior to rendering the multilingual content.

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