BUNDLE CREATION FROM DESCRIPTION CONTENT USING MACHINE LEARNING

    公开(公告)号:US20230298081A1

    公开(公告)日:2023-09-21

    申请号:US17699400

    申请日:2022-03-21

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0631 G06F40/295 G06F40/40

    Abstract: A bundle generation engine provides recommendations for an item and at least one compatible item. Upon receiving an item listing for an item at a listing platform, the bundle generation engine determines that unstructured text of an item description for the item listing includes one or more compatible items. For example, the bundle generation engine may use a classification model to determine the unstructured text includes the one or more compatible items. Based on determining that the unstructured text includes the one or more compatible items, the bundle generation engine identifies one or more identifiers within the unstructured text of the item description. For example, the identifiers may be model identifiers or brand identifiers. In aspects, the identifiers are identified using one or more natural language processing models. A bundle recommendation is provided to a user device based on the one or more identifiers.

    Adaptive Timing Prediction For Updating Information

    公开(公告)号:US20230410189A1

    公开(公告)日:2023-12-21

    申请号:US18239253

    申请日:2023-08-29

    Applicant: eBay Inc.

    CPC classification number: G06Q30/08 G06N5/02

    Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.

    COUNTERFEIT ITEM DETECTION SYSTEM

    公开(公告)号:US20230079170A1

    公开(公告)日:2023-03-16

    申请号:US18050376

    申请日:2022-10-27

    Applicant: eBay Inc.

    Abstract: A counterfeit item detection system detects counterfeit items during an item listing processes provided by an online marketplace. The system enhances the ability of the online marketplace to identify and reject potential counterfeit items. The system comprises a trained counterfeit item detection model that is configured to receive an image and identify whether the image includes a counterfeit item. The model is trained using a data set of training images. An image of the data set is taken from a video related to the time based on identifying that the context of text associated with the video relates to counterfeit items. The text can be determined from the video's audio, and the image is obtained at a time in the video where the text corresponds to a counterfeit item context.

    ADAPTIVE TIMING PREDICTION FOR UPDATING INFORMATION

    公开(公告)号:US20210049679A1

    公开(公告)日:2021-02-18

    申请号:US16538612

    申请日:2019-08-12

    Applicant: eBay Inc.

    Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.

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