MACHINE LEARNING FOR DYNAMIC INFORMATION RETRIEVAL IN A COLD START SETTING

    公开(公告)号:US20240152512A1

    公开(公告)日:2024-05-09

    申请号:US17980487

    申请日:2022-11-03

    申请人: Zulily, LLC

    IPC分类号: G06F16/2453 G06Q30/02

    CPC分类号: G06F16/2453 G06Q30/0201

    摘要: Methods and systems described herein may improve search results for items newly added to a database by using machine learning to map historical items in the database to the newly added items. For example, non-conventional methods and systems described herein may use machine learning generated embeddings (e.g., vector representations of items) to determine the extent to which two items are similar to each other. The computing system may assign engagement data associated with a first item to a second item that lacks engagement data. By doing so, the computing system may enable improved search results because the position of items that lack engagement data (e.g., newly added items) may be adjusted based on engagement data associated with similar items.