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    Machine-Learned Models for Multimodal Searching and Retrieval of Images
    11.
    发明申请
    Machine-Learned Models for Multimodal Searching and Retrieval of Images 有权

    公开(公告)号：US20240370487A1

    公开(公告)日：2024-11-07

    申请号：US18253859

    申请日：2022-11-04

    Applicant: Google LLC

    Inventor： Severin Heiniger ,  Balint Miklos ,  Yun-Hsuan Sung ,  Zhen Li ,  Yinfei Yang ,  Chao Jia

    IPC: G06F16/538 ,  G06F16/55 ,  G06N3/084

    Abstract: Systems and methods of the present disclosure are directed to computer-implemented method for machine-learned multimodal search refinement. The method includes obtaining a query image embedding for a query image and a textual query refinement associated with the query image. The method includes processing the query image embedding and the textual query refinement with a machine-learned query refinement model to obtain a refined query image embedding that incorporates the textual query refinement. The method includes evaluating a loss function that evaluates a distance between the refined query image embedding and an embedding for a ground truth image within an image embedding space. The method includes modifying value(s) of parameter(s) of the machine-learned query refinement model based on the loss function.

    Systems and Methods for Generating a Message Topic Training Dataset from User Interactions in Message Clients
    16.
    发明申请
    Systems and Methods for Generating a Message Topic Training Dataset from User Interactions in Message Clients 审中-公开

    公开(公告)号：US20200007486A1

    公开(公告)日：2020-01-02

    申请号：US16565628

    申请日：2019-09-10

    Applicant: Google LLC

    Inventor： László Lukács ,  Karol Kurach ,  Balint Miklos

    IPC: H04L12/58 ,  H04W4/12

    Abstract: Systems and methods for classifying messages are provided. Each message in a plurality of messages is classified, thereby independently identifying a message category in a set of message categories for each respective message in the plurality. The plurality of messages is delivered to a plurality of recipients with a designation of the message category of each respective message in the first plurality of messages. A plurality of recipient initiated message interaction events for messages in the first plurality of messages over a predetermined period of time is collected from the plurality of recipients. A message categorization dataset is then constructed from (i) the first plurality of messages, (ii) the designation of the message category of each respective message in the subset of the first plurality of messages, and (iii) the plurality of recipient initiated message interaction events. This message categorization dataset is used to train or evaluate a message classifier.

    Generating and applying outgoing communication templates
    20.
    发明授权
    Generating and applying outgoing communication templates 有权

    公开(公告)号：US11010547B2

    公开(公告)日：2021-05-18

    申请号：US16295170

    申请日：2019-03-07

    Applicant: Google LLC

    Inventor： Balint Miklos ,  Julia Proskurnia ,  Luis Garcia Pueyo ,  Marc-Allen Cartright ,  Tobias Kaufmann ,  Ivo Krka

    IPC: G06F40/186 ,  G06F40/174 ,  G06F16/901 ,  G06F40/242

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for generating and applying outgoing communication templates. In various implementations a corpus of outgoing communications sent by a user may be grouped into a plurality of clusters based on one or more attributes of a context of the user. One or more segments of each outgoing communication of a particular cluster may be classified as fixed in response to a determination that a count of occurrences of the one or more segments across the particular cluster satisfies a criterion. One or more remaining segments of each communication of the particular cluster may or may not be classified as transient. Based on sequences of classified segments associated with each communication of the particular cluster, an outgoing communication template may be generated to automatically populate at least a portion of a draft outgoing communication being prepared by the user.

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