Collaborative advertising mechanism

    公开(公告)号:US12141845B2

    公开(公告)日:2024-11-12

    申请号:US17484652

    申请日:2021-09-24

    Applicant: Lemon Inc.

    Abstract: The present disclosure describes techniques of implementing a collaborative advertising mechanism. The techniques comprise receiving a plurality of pieces of content associated with a mission event from a first plurality of client computing devices associated with a first plurality of users, evaluating the plurality of pieces of content based on one or more predetermined rules of the mission event and information indicative of viewer reactions to the plurality of pieces of content, determining at least one subset of the plurality of pieces of content based on a plurality of evaluation results corresponding to the plurality of pieces of content and user input from a client computing device associated with one of a second plurality of users, and distributing the at least one subset of the plurality of pieces of content.

    Generation of image corresponding to input text using dynamic value clipping

    公开(公告)号:US12136141B2

    公开(公告)日:2024-11-05

    申请号:US18052866

    申请日:2022-11-04

    Applicant: Lemon Inc.

    Abstract: Systems and methods are provided that include a processor executing a program to receive input text from a user. The processor is further configured to, for a predetermined number of iterations, input an initial image into a diffusion process to generate a processed image, back-propagate the processed image through a text-image match gradient calculator to calculate a gradient against the input text, and update the initial image with an image generated by applying the calculated gradient to the processed image. The pixel values of the processed image during a first portion of the predetermined number of iterations are value clamped to a first range, and pixel values of the processed image during a second portion of the predetermined number of iterations are value clamped to a second range that is a subset of the first range.

    Generation of image corresponding to input text using multi-text guided image cropping

    公开(公告)号:US12131406B2

    公开(公告)日:2024-10-29

    申请号:US18052870

    申请日:2022-11-04

    Applicant: Lemon Inc.

    CPC classification number: G06T11/00 G06F40/40 G06T5/70

    Abstract: Systems and methods are provided that include a processor executing a program to receive an input from a user, where the input including a first input text and a second input text. The processor is further configured to provide an initial image and, for a predetermined number of iterations, define a first and second regions of the initial image associated with the first and second input texts, respectively, define a plurality of patches of the initial image, input the initial image into a diffusion process to generate a processed image, back-propagate the processed image through a text-image match gradient calculator by generating an image embedding based on the processed image, generating a text embedding based on the region and the input text that are associated with a patch, and calculating a differential between the image embedding and the text embedding.

    Accelerating data processing by offloading thread computation

    公开(公告)号:US12118397B2

    公开(公告)日:2024-10-15

    申请号:US17945843

    申请日:2022-09-15

    CPC classification number: G06F9/5027 G06F9/4843 G06F15/7821

    Abstract: The present disclosure describes techniques for accelerating data processing by offloading thread computation. An application may be started based on creating and executing a process by a host, the process associated with a plurality of threads. Creating a plurality of computation threads on a storage device may be requested based on determining that the storage device represents a computational storage. The plurality of computation threads may be created based on preloading a plurality of libraries in the storage device. The plurality of libraries may comprise executable codes associated with the plurality of threads. Data processing associated with the plurality of threads may be offloaded to the storage device using the plurality of computation threads. Activities associated with the plurality of computation threads may be managed by the process.

    SECURE COMPUTATION AND COMMUNICATION
    48.
    发明公开

    公开(公告)号:US20240340178A1

    公开(公告)日:2024-10-10

    申请号:US18297339

    申请日:2023-04-07

    Applicant: Lemon Inc.

    CPC classification number: H04L9/3066 G06F16/2456 G06F16/258 H04L2209/46

    Abstract: Methods and systems for secure computation and communication are provided. The method includes transforming identifications of a first dataset using a first transforming scheme, and transforming attributes of the first dataset using a second transforming scheme. The method also includes dispatching the transformed first dataset, receiving a second dataset, transforming identifications of the received second dataset, dispatching the identifications of the transformed received second dataset, and receiving a set of identifications. The method further includes generating a first intersection of the received set of identifications and the transformed received second dataset, generating a first share based on the first intersection, receiving a second share, and constructing a result based on the first share and the second share.

    METHOD AND APPARATUS FOR KNOWLEDGE GRAPH CONSTRUCTION, STORAGE MEDIUM, AND ELECTRONIC DEVICE

    公开(公告)号:US20240330373A1

    公开(公告)日:2024-10-03

    申请号:US18573944

    申请日:2022-08-12

    Applicant: Lemon Inc.

    CPC classification number: G06F16/90344

    Abstract: The disclosure relates to a method and apparatus for knowledge graph construction, a storage medium, and an electronic device. The method comprises: obtaining a target entity identifier and determining an industry type label corresponding to the target entity identifier; determining a target industry attribute table based on a predetermined correspondence among the industry type label, an industry type, and an industry attribute table; obtaining target attribute values of the target entity identifier from a public database based on respective target attribute names in the target industry attribute table, to obtain a target attribute of the target entity identifier, wherein the target attribute characterizes a key-value pair consisting of the target attribute name and the target attribute value; and constructing a knowledge graph based on an entity characterized by the target entity identifier, the industry type label, and the target attribute.

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