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    System and method for deep enriched neural networks for time series forecasting
    1.
    发明授权
    System and method for deep enriched neural networks for time series forecasting 有权

    公开(公告)号：US12223399B2

    公开(公告)日：2025-02-11

    申请号：US17083020

    申请日：2020-10-28

    Applicant: YAHOO ASSETS LLC

    Inventor： Suleyman Cetintas ,  Xian Wu

    IPC: G06N20/00 ,  G06F16/903

    Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. Upon receiving input data associated with a time series, hidden representations associated with the time series in a feature space are obtained and used to generate a query vector in a query space. Such generated query vector is then used to query relevant historic information related to the time series. The query vector and the relevant historic information are aggregated to generate at least one queried vector, which is aggregated with the hidden representations to generate enriched hidden representations that enhance the expressiveness of the hidden representations.

    Personalized search filter and notification system
    3.
    发明授权
    Personalized search filter and notification system 有权

    公开(公告)号：US12189701B2

    公开(公告)日：2025-01-07

    申请号：US18224085

    申请日：2023-07-20

    Applicant: Yahoo Assets LLC

    Inventor： Preetam Joshi ,  Suju Rajan ,  Amit Phadke ,  Vishesh Joshi ,  Victor Laguna ,  Christopher Chi Kai Lam

    IPC: G06F16/9535 ,  G06F16/33

    Abstract: One or more techniques and/or systems for sending push notifications of content items to client devices are provided herein. For example, an input received from a user can be expanded to obtain an expanded user interest. Content items from a content source can be filtered based upon the expanded user interest to obtain a set of filtered content items. A push notification can be constructed to comprise one or more of the filtered content items from the set of filtered content items. The push notification can be sent to a client device of the user for display as a device alert notification. In an example, the filtered content items, within the push notification, may be ranked based upon a ranking metric.

    AUTOMATED CITATIONS AND ASSESSMENT FOR AUTOMATICALLY GENERATED TEXT
    4.
    发明申请
    AUTOMATED CITATIONS AND ASSESSMENT FOR AUTOMATICALLY GENERATED TEXT 有权

    公开(公告)号：US20250005266A1

    公开(公告)日：2025-01-02

    申请号：US18345508

    申请日：2023-06-30

    Applicant: YAHOO ASSETS LLC

    Inventor： Eric BAX ,  Arundhyoti SARKAR ,  Melissa GERBER ,  Will WAGNER ,  Lisa GIAFFO ,  Nikki THOMPSON

    IPC: G06F40/169 ,  G06F16/35 ,  G06F16/38 ,  G06F40/205

    Abstract: In some implementations, the techniques described herein relate to a method including: parsing, by a processor, a generated text to identify statements included within a generated text; querying, by the processor, a remote data source to identify sources for each statement in the statements; determining, by the processor, trustworthiness values for each statement, a trustworthiness value for a given statement determined by computing trustworthiness labels for each source corresponding to a given statement: generating, by the processor, a label for the generated text based on an aggregated trustworthiness of each of the statements; and displaying, by the processor, the generated text and the label within a user interface displayed to a user.

    PERFORMING ENTITY ACTIONS USING EMAIL INTERFACES
    5.
    发明申请
    PERFORMING ENTITY ACTIONS USING EMAIL INTERFACES 有权

    公开(公告)号：US20240428238A1

    公开(公告)日：2024-12-26

    申请号：US18829238

    申请日：2024-09-09

    Applicant: Yahoo Assets LLC

    Inventor： Mohit Goenka ,  Ashish Khushal Dharamshi ,  Nikita Varma ,  Gnanavel Shanmugam

    IPC: G06Q20/38 ,  G06F3/04842 ,  G06Q10/0631 ,  G06Q10/1093 ,  H04L51/046 ,  H04L51/42 ,  H04W4/24

    Abstract: One or more computing devices, systems, and/or methods for performing entity actions based upon inputs received via email interfaces are provided. For example, an email received by an email account may be identified. The email may be associated with an entity action corresponding to a first entity. A selectable input corresponding to performing the entity action may be displayed via an email interface associated with the email account. A request to perform the entity action may be received via a selection of the selectable input. Responsive to receiving the request, an action interface corresponding to performing the entity action may be displayed within the email interface. One or more inputs associated with the entity action may be received via the action interface. Responsive to determining that the entity action is completed, a confirmation message, indicative of the entity action being completed, may be displayed using the email interface.

    PRUNING FIELD WEIGHTS FOR CONTENT SELECTION
    8.
    发明公开
    PRUNING FIELD WEIGHTS FOR CONTENT SELECTION 审中-公开

    公开(公告)号：US20240354811A1

    公开(公告)日：2024-10-24

    申请号：US18761132

    申请日：2024-07-01

    Applicant: Yahoo Assets LLC

    Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

    IPC: G06Q30/0273 ,  G06F16/903 ,  G06N3/082 ,  G06N7/01

    CPC classification number: G06Q30/0275 ,  G06N3/082 ,  G06N7/01 ,  G06F16/90344

    Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

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