Physical Object Boundary Detection Techniques and Systems

    公开(公告)号:US20240046481A1

    公开(公告)日:2024-02-08

    申请号:US18488131

    申请日:2023-10-17

    Applicant: eBay Inc.

    CPC classification number: G06T7/13 G06T7/70 G06Q10/08345 G06T19/006

    Abstract: Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.

    SESSION-CENTRIC ACCESS CONTROL FOR SECURE EPHEMERAL SHELLS

    公开(公告)号:US20240039917A1

    公开(公告)日:2024-02-01

    申请号:US18380286

    申请日:2023-10-16

    Applicant: eBay Inc.

    CPC classification number: H04L63/10 H04L9/321 H04L9/3263 G06F21/45 H04L63/0823

    Abstract: Technologies are shown for session centric access control of a remote connection. A request for a remote connection is received from a client. A container is created for the remote connection, and an identifier for each of one or more endpoints authorized for the remote connection are stored in the container. A secure shell is initiated for the remote connection. Access is provided to the first endpoint from the one or more endpoints via the secure shell based on a first identifier for the first endpoint being stored in the container.

    Personalized Recency and Time-Aware System
    73.
    发明公开

    公开(公告)号:US20240028600A1

    公开(公告)日:2024-01-25

    申请号:US17870511

    申请日:2022-07-21

    Applicant: eBay Inc.

    CPC classification number: G06F16/24578 G06N20/00

    Abstract: Systems, methods, and computer-storage media provide content item retrieval that is personalized and time aware for a user. Interaction tracking is performed to identify content items with which the user has interacted and time data indicative of when the user interacted with each content item. A machine learning model is trained using the content items and the time data associated with each content item. Once trained, the machine learning model is used to generate a relevance score for each of a number of target content items. At least a portion of the target content items are provided for presentation to the user based on the relevance scores.

    Block aggregation for shared streams

    公开(公告)号:US11874821B2

    公开(公告)日:2024-01-16

    申请号:US17559783

    申请日:2021-12-22

    Applicant: eBay Inc.

    CPC classification number: G06F16/2365

    Abstract: The approaches presented herein may include loading a plurality of metadata instances for a plurality of data blocks stored in a database, each metadata instance of the plurality of metadata instances indicating a respective data block structure applied to aggregate a set of data messages. The approaches may include processing a first metadata instance corresponding to a first set of one or more data blocks of the plurality of data blocks and a second metadata instance corresponding to a second set of one or more data blocks of the plurality of data blocks to perform an anomaly storage check between the first set of one or more data blocks of the plurality of data blocks and the second set of one or more data blocks of the plurality of data blocks. The approaches may include generating an output based at least in part on the anomaly storage check.

    SECURE CONTROL OF TRANSACTIONS USING BLOCKCHAIN

    公开(公告)号:US20240013209A1

    公开(公告)日:2024-01-11

    申请号:US18371945

    申请日:2023-09-22

    Applicant: eBay Inc.

    CPC classification number: G06Q20/3825 G06Q20/389 G06Q20/3829

    Abstract: Technologies are shown for controlling a transaction on a blockchain. A first block is created on a blockchain for a transaction involving a seller entity associated with a first key, a buyer entity associated with a second key, and an intermediary entity associated with a third key. Funds for the transaction are associated with the first block. A second block storing refund code is created and linked to the first block. The refund code is executable to refund the funds when a seller digital signature using the first key and/or an intermediary digital signature using the third key are received. A third block storing payment code is created and linked to the first block. The payment code is executable to transfer the funds when a buyer digital signature using the second key and/or an intermediary digital signature using the third key are received.

    IMAGE CLEANUP ON A MOBILE DEVICE
    78.
    发明公开

    公开(公告)号:US20230419457A1

    公开(公告)日:2023-12-28

    申请号:US18465643

    申请日:2023-09-12

    Applicant: eBay Inc.

    Inventor: Qiaosong Wang

    Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for image cleanup. In some embodiments, there is provide a method which may include subsampling a first image to a first level image of a multiscale transform; performing, based on a machine learning model, an identification of a foreground portion of the first level image and a background portion of the first level image; generating, based on the identification of the foreground portion and the background portion, a first mask; upscaling the first mask to a resolution corresponding to the first image depicting the foreground item; applying the upscaled first mask to the first image to form a second image depicting the foreground item; and providing the second image depicting the foreground item to a publication system. Related systems and articles of manufacture, including computer program products, are also provided.

    DYNAMIC TRANSACTION SYSTEM USING COUNTERFACTUAL MACHINE-LEARNING ANALYSIS

    公开(公告)号:US20230419396A1

    公开(公告)日:2023-12-28

    申请号:US17846474

    申请日:2022-06-22

    Applicant: eBay Inc.

    Abstract: Systems and methods are directed to using counterfactual machine-learning analysis to improve a probability of transaction conversion. The system trains a model with training data extracted from past transactions, whereby the model determines a probability for transaction conversion based in part on user account behavior. The system monitors the user account behavior associated with a potential buyer including tracking a first action performed involving an item of a listing. A user attribute associated with the user account and an item attribute associated with the item are determined. Based on the first action, the probability is determined by applying the user attribute, the item attribute, and the user account behavior to the model. Based on the probability being less than a conversion threshold, counterfactual analysis is performed to identify a change associated with the item that results in the probability exceeding the conversion threshold. The change may be automatically implemented.

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