CONTEXTUAL ESTIMATION OF LINK INFORMATION GAIN

    公开(公告)号:US20200349181A1

    公开(公告)日:2020-11-05

    申请号:US16608628

    申请日:2018-10-18

    Applicant: Google LLC

    Abstract: Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents

    Automated assistants that accommodate multiple age groups and/or vocabulary levels

    公开(公告)号:US10573298B2

    公开(公告)日:2020-02-25

    申请号:US15954174

    申请日:2018-04-16

    Applicant: Google LLC

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    Advanced content retrieval
    56.
    发明授权

    公开(公告)号:US10389866B2

    公开(公告)日:2019-08-20

    申请号:US15698734

    申请日:2017-09-08

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for implementing advanced information retrieval are described. A user may provide fetching parameter values to acquire content. The system may determine whether or not the user-provided fetching parameter values can be satisfied. If the fetching parameters can be satisfied, the system obtains and caches the information.

    Digital Signal Processor-Based Continued Conversation

    公开(公告)号:US20250166628A1

    公开(公告)日:2025-05-22

    申请号:US19035299

    申请日:2025-01-23

    Applicant: Google LLC

    Abstract: A method includes instructing an always-on first processor to operate in a follow-on query detection mode, and while the always-on first processor operates in the follow-on query detection mode: receiving follow-on audio data captured by the assistant-enabled device; determining, using a voice activity detection (VAD) model executing on the always-on first processor, whether or not the VAD model detects voice activity in the follow-on audio data; performing, using a speaker identification (SID) model executing on the always-on first processor, speaker verification on the follow-on audio data to determine whether the follow-on audio data includes an utterance spoken by the same user. The method also includes initiating a wake-up process on a second processor to determine whether the utterance includes a follow-on query.

    ROBOTIC COMPUTING DEVICE WITH ADAPTIVE USER-INTERACTION

    公开(公告)号:US20250162168A1

    公开(公告)日:2025-05-22

    申请号:US19029255

    申请日:2025-01-17

    Applicant: GOOGLE LLC

    Abstract: Implementations set forth herein relate to a robotic computing device that can perform certain operations, such as communicating between users in a common space, according to certain preferences of the users. When interacting with a particular user, the robotic computing device can perform an operation at a preferred location relative to the particular user based on an express or implied preference of that particular user. For instance, certain types of operations can be performed at a first location within a room, and other types of operations can be performed at a second location within the room. When an operation involves following or guiding a user, parameters for driving the robotic computing device can be selected based on preferences of the user and/or a context in which the robotic computing device is interacting with the user (e.g., whether or not the context indicates some amount of urgency).

    DYNAMICALLY ADAPTING ON-DEVICE MODELS, OF GROUPED ASSISTANT DEVICES, FOR COOPERATIVE PROCESSING OF ASSISTANT REQUESTS

    公开(公告)号:US20250124929A1

    公开(公告)日:2025-04-17

    申请号:US18999855

    申请日:2024-12-23

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to dynamically adapting which assistant on-device model(s) are locally stored at assistant devices of an assistant device group and/or dynamically adapting the assistant processing role(s) of the assistant device(s) of the assistant device group. In some of those implementations, the corresponding on-device model(s) and/or corresponding processing role(s), for each of the assistant devices of the group, is determined based on collectively considering individual processing capabilities of the assistant devices of the group. Implementations are additionally or alternatively directed to cooperatively utilizing assistant devices of a group, and their associated post-adaptation on-device model(s) and/or post-adaptation processing role(s), in cooperatively processing assistant requests that are directed to any one of the assistant devices of the group.

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