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    DATA RECOMMENDATION AND PRIORITIZATION
    31.
    发明申请
    DATA RECOMMENDATION AND PRIORITIZATION 审中-公开
    数据建议与优先

    公开(公告)号：US20170004557A1

    公开(公告)日：2017-01-05

    申请号：US14790027

    申请日：2015-07-02

    Applicant: eBay Inc.

    Inventor： Dane Glasgow ,  Matthew Bret MacLaurin ,  David Ramadge ,  Corinne Elizabeth Sherman ,  Anthony Shah ,  Theodore James Dziuba ,  Josephine Pang

    IPC: G06Q30/06 ,  G06F3/0484 ,  G06F3/0482 ,  G06F17/30

    CPC classification number: G06Q30/0631

    Abstract: In various example embodiments, a system and method for generating recommendations for data and prioritizing data based on the recommendations are presented. The system accesses an item listing including an item description and determines the item listing is a candidate for a recommendation label. The system receives a recommendation indication for the item listing. The recommendation indication represents a recommendation for the item listing between a first price and a second price. In response to the recommendation indication, the system associates a recommendation tag with the item listing and causes presentation of the item listing with a representation of the recommendation tag.

    Abstract translation: 在各种示例性实施例中，提供了一种用于基于建议产生用于数据的建议和优先化数据的系统和方法。 系统访问包括项目描述的项目列表，并且确定项目列表是推荐标签的候选者。 系统收到项目列表的推荐指示。 推荐指示代表对第一价格和第二价格之间的商品列表的建议。 响应于该推荐指示，该系统将推荐标签与该物品列表相关联，并且使该项目列表的呈现与该推荐标签的表示相关联。

    FASHION ADMINISTRATION
    32.
    发明申请
    FASHION ADMINISTRATION 审中-公开
    时尚管理

    公开(公告)号：US20160189274A1

    公开(公告)日：2016-06-30

    申请号：US14587645

    申请日：2014-12-31

    Applicant: eBay Inc.

    Inventor： Matthew MacLaurin ,  Timothy Carlson ,  Corinne Sherman ,  Bria Selhorst ,  David Ramadge

    IPC: G06Q30/06 ,  G06Q50/00 ,  G06Q30/02 ,  G06F17/30

    CPC classification number: G06Q30/0631 ,  G06Q30/0282 ,  G06Q50/01

    Abstract: A system may include a feature detector, an information gatherer, a trend identifier, a fashion database, a preference identifier, and a recommendation engine. The feature detector may analyze images including visual data showing apparel. The feature detector may determine characteristics of the apparel. The information gatherer may identify non-visual data related to the images and may derive non-visual details related to the apparel. The trend identifier may identify defined trends embodied by the apparel based on the characteristics of the apparel. The fashion database may store and categorize fashion metrics of the apparel, including the characteristics, the defined trends, and the non-visual details related to the apparel. The preference identifier may identify fashion preferences of a customer. The recommendation engine may present a fashion recommendation to the customer based at least in part on a comparison of the fashion preferences of the customer and the fashion metrics.

    Abstract translation: 系统可以包括特征检测器，信息采集器，趋势标识符，时尚数据库，偏好标识符和推荐引擎。 特征检测器可以分析包括显示服装的视觉数据的图像。 特征检测器可以确定服装的特征。 信息收集者可以识别与图像相关的非视觉数据，并且可以导出与服装相关的非视觉细节。 趋势标识符可以基于服装的特征来识别服装所体现的定义的趋势。 时尚数据库可以存储和分类服装的时尚指标，包括特征，定义的趋势以及与服装相关的非视觉细节。 偏好标识符可以识别客户的时尚偏好。 该推荐引擎可以至少部分地基于客户的时尚偏好和时尚度量的比较来向客户呈现时尚推荐。

    Method, non-transitory computer-readable media, and system for e-commerce replacement or replenishment of consumable
    39.
    发明授权
    Method, non-transitory computer-readable media, and system for e-commerce replacement or replenishment of consumable 有权

    公开(公告)号：US11556971B2

    公开(公告)日：2023-01-17

    申请号：US16590362

    申请日：2019-10-01

    Applicant: eBay Inc.

    Inventor： Dane Glasgow ,  Matthew Brett MacLaurin ,  David Ramadge ,  Corinne Elizabeth Sherman

    IPC: G06Q30/00 ,  G06Q30/06

    Abstract: Methods and systems for replenishing a consumable include order satisfaction responsive to an indication of imminent failure or depletion of a consumable based on detected parameters. A sensor reading may indicate that a consumable is performing below a threshold, or has limited remaining capacity. Responsive to a determination that a replacement is necessary, the method may recommend one or more alternatives. The recommendation may be made based on how closely a candidate replacement's performance or other characteristic (e.g. cost, capacity) matches that of a currently-used consumable. The recommendation may be based on one or more attributes of a candidate replacement compared to a currently-used consumable. An order may be automatically placed according to the currently-used consumable or the recommended alternative(s). The order may be delivered with instructions regarding where and when to replace the consumable.

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