Method, medium, and system for generating and ordering item offer themes

    公开(公告)号:US12243094B2

    公开(公告)日:2025-03-04

    申请号:US17731743

    申请日:2022-04-28

    Applicant: eBay Inc.

    Abstract: Generating themes for different item offers is described. An item listing system receives a request for a target item and generates themes for the target item by grouping offers based on their properties. The item listing system then determines a display order for the themes based on user behavior data. The item listing system then communicates the themes and display order to a client device from which the request was received, causing the client device to display an interface including at least a subset of the themes, arranged according to the display order. Themes including offers determined to be more appealing to the user of the client device are displayed more prominently relative to other themes. The item listing system is further configured to dynamically modify the display order in real-time based on offer changes, such that the interface continuously provides correct information describing available offers for the target item.

    Parallel data stream processing system

    公开(公告)号:US11789955B2

    公开(公告)日:2023-10-17

    申请号:US15783253

    申请日:2017-10-13

    Applicant: eBay Inc.

    CPC classification number: G06F16/2465

    Abstract: A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.

    SNIPPET EXTRACTOR: RECURRENT NEURAL NETWORKS FOR TEXT SUMMARIZATION AT INDUSTRY SCALE

    公开(公告)号:US20200320370A1

    公开(公告)日:2020-10-08

    申请号:US16857958

    申请日:2020-04-24

    Applicant: eBay Inc.

    Abstract: Systems, methods and media are provided for training a snippet extractor to create snippets based on information extracted from published descriptions. In one example, a computer-implemented method includes creating, based on a non-RNN (Recurrent Neural Network) extraction technique performed on the published descriptions, a plurality of base models, each base model including one or more sample description summaries; evaluating the base models using an evaluation technique; selecting an optimum base model; developing a classification model using RNN extraction, the classification model based on description summaries contained in the optimum base model; and using the classification model to train the snippet extractor by machine learning.

    ENHANCED SUPPLY AND DEMAND TOOL
    26.
    发明申请
    ENHANCED SUPPLY AND DEMAND TOOL 审中-公开
    增强供应和需求工具

    公开(公告)号:US20160328765A1

    公开(公告)日:2016-11-10

    申请号:US15149964

    申请日:2016-05-09

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0605 G06Q30/0631 G06Q30/0641

    Abstract: A comparison between items for sale in a marketplace and items for sale at an external retailer is used to generate one or more recommended actions for the marketplace. For example, if the marketplace has a comparable quantity of available items in a product cluster with better prices, a recommendation to promote the items based on price may be generated As another example, if the marketplace has a better variety of items available in the product cluster, a recommendation to promote the items that are unavailable at the external retailer may be generated. As a third example, if the marketplace has fewer items available in the product cluster, a recommendation to procure additional inventory may be generated. As yet another example, if the marketplace has items available in the product cluster at a higher price than the external retailer, a recommendation to reduce prices may be generated.

    Abstract translation: 用于在市场上出售的物品与外部零售商销售物品之间的比较被用于为市场产生一个或多个推荐的动作。 例如,如果市场在具有更好价格的产品集群中具有可比较的可用项目数量,则可以生成基于价格来推广项目的建议。另外,例如,如果市场有更多种类的产品可用的产品 可能会产生促进外部零售商无法使用的商品的建议。 作为第三个例子,如果市场在产品集群中可用的项目较少,则可能会生成采购附加库存的建议。 另一个例子是,如果市场上的产品集群中的商品的价格比外部零售商的价格高,那么可能会产生降价的建议。

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