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    Search result identification using vector aggregation
    32.
    发明授权
    Search result identification using vector aggregation 有权

    公开(公告)号：US12124522B2

    公开(公告)日：2024-10-22

    申请号：US17646695

    申请日：2021-12-31

    Applicant: eBay Inc.

    Inventor： Daniel Tunkelang ,  Aritra Mandal ,  Zhe Wu

    IPC: G06F16/9532 ,  G06F16/9535 ,  G06Q30/0601

    CPC classification number: G06F16/9532 ,  G06F16/9535 ,  G06Q30/0625

    Abstract: Search queries are received and search results are provided. Interaction tracking is used to determine with which search results users interact. The search results having received interactions can be represented as item vectors, which can include a vector representation of a portion of the search result, such as a title, description, or image. For each search query, the item vectors are aggregated, such as by averaging the item vectors. The search queries are stored in an item dataset as collected search queries respectively associated with the aggregate item vectors. When a new search query is received, a search query vector can be compared to the aggregate item description vectors to identify collected search queries that are related. The related collected search queries can be provided as search query recommendations or search results associated with the collected search queries can be provided in response to receiving the new search query.

    Removing purchases from online containers
    37.
    发明授权
    Removing purchases from online containers 有权

    公开(公告)号：US12100036B2

    公开(公告)日：2024-09-24

    申请号：US18139038

    申请日：2023-04-25

    Applicant: eBay Inc.

    Inventor： Oliver Nicholas Cockcroft

    IPC: G06Q30/06 ,  G06Q30/0601

    CPC classification number: G06Q30/0633 ,  G06Q30/0601

    Abstract: Systems and methods are provided for identifying a first user account based on an indication of purchase of a first item; identifying a second user account associated with the first user account; determining a shared characteristic between the first item of the first user account and a second item in an online container associated with the second user account; determining a user interest of the second item based on user attribute data associated with the second user account and the shared characteristic; removing the second item from the online container based on the determining of the user interest; and causing display of a notification on a user interface of a device associated with the second user account, the notification including an indication of the second item being removed from the online container based on the indication of purchase of the first item.

    Method and system for identifying, managing, and monitoring data dependencies
    39.
    发明授权
    Method and system for identifying, managing, and monitoring data dependencies 有权

    公开(公告)号：US12093326B2

    公开(公告)日：2024-09-17

    申请号：US18384964

    申请日：2023-10-30

    Applicant: eBay Inc.

    Inventor： Sizhong Liu ,  Zou Qingnan ,  Yi Liu ,  Ian Chi-Yee Ma ,  Haowen Zhu

    IPC: G06F16/906 ,  G06F9/38 ,  G06F16/182 ,  G06F16/9035 ,  G06F16/907

    CPC classification number: G06F16/906 ,  G06F9/3838 ,  G06F16/182 ,  G06F16/9035 ,  G06F16/907

    Abstract: Software is increasingly being developed as a collection of loosely coupled applications. Loosely coupled applications exchange data by publishing data to and retrieving data from a data store, such as a database, a file located on a storage cluster, etc. Data produced by one application and consumed by another is referred to as a data dependency. In some embodiments, an application's data dependencies are identified by analyzing cached query plans associated with the application. Query plans include a hierarchical representation of a query, where non-leaf nodes represent commands and leaf nodes identify data dependencies. An application's data dependencies are identified by traversing the hierarchical representation of the query. Data dependencies consumed by the application are identified by finding leaf nodes that descend from a read command, while data dependencies produced by the application are identified by finding leaf nodes that descend from a write command.

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