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    Bid placement for ranked items
    4.
    发明授权
    Bid placement for ranked items 有权

    公开(公告)号：US11062386B1

    公开(公告)日：2021-07-13

    申请号：US16427847

    申请日：2019-05-31

    Applicant: Amazon Technologies, Inc.

    Inventor： Paul Anthony Kotas

    IPC: G06Q30/08

    Abstract: Disclosed are various embodiments for a placement bidding application. A list of items is generated. A position of an item within the list is determined according to a bid associated with the item and a display placement preference included with the bid. A number of items from the list are encoded for rendering in a user interface element or on a display of a client device. The number of items is based at least in part on a size limitation of the user interface element or the display of the client device.

    Color-based content determination
    5.
    发明授权
    Color-based content determination 有权

    公开(公告)号：US10853839B1

    公开(公告)日：2020-12-01

    申请号：US15343944

    申请日：2016-11-04

    Applicant: Amazon Technologies, Inc.

    Inventor： Jason Adrian Galep ,  Paul Anthony Kotas

    IPC: G06Q30/00 ,  G06Q30/02 ,  G06Q30/06 ,  G06N20/00 ,  H04L29/08 ,  G06F3/0482 ,  G06T7/40 ,  G06T11/00

    Abstract: Supplemental content is selected or generated based at least in part upon colors of primary content with which the supplemental content is to be displayed. Color data is determined for primary content and that color data is used to select supplemental content that includes complementary or similar colors. Past performance data can be analyzed in order to determine which colors are most effective for a type of opportunity. When an opportunity arises to provide supplemental content, the effective colors can be recommended or, in some cases, automatically applied such that the supplemental content will include colors that improve the overall likelihood of performance of the supplemental content. If a designer is generating supplemental content, a tool can use such performance data to recommend colors based on the type of supplemental content or other such targeting criteria.

    PROMOTING AN ONLINE AUCTION TO USERS BASED UPON BIDDING HISTORY
    7.
    发明申请
    PROMOTING AN ONLINE AUCTION TO USERS BASED UPON BIDDING HISTORY 审中-公开
    根据招标历史向用户推广在线拍卖

    公开(公告)号：US20140214538A1

    公开(公告)日：2014-07-31

    申请号：US14230437

    申请日：2014-03-31

    Applicant: Amazon Technologies, Inc.

    Inventor： Paul Anthony Kotas

    IPC: G06Q30/02 ,  G06Q30/08

    CPC classification number: G06Q30/0269 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0277 ,  G06Q30/0601 ,  G06Q30/0631 ,  G06Q30/08 ,  G06Q40/04

    Abstract: A data representation of auctions in an online auction system and a bidding history associated with the auctions and the online auction system are maintained in a computer system for multiple users. A set of the users to whom to promote a selected auction is determined based at least in part on the bidding history. A message that promotes the selected auction is sent to each respective one of the set of the users. The message includes a control configured to open a web page that facilitates bidding in the selected auction through the online auction system.

    Abstract translation: 在线拍卖系统中的拍卖的数据表示和与拍卖和在线拍卖系统相关联的投标历史被维护在用于多个用户的计算机系统中。 至少部分地基于投标历史确定一组促销所选拍卖的用户。 将促成所选拍卖的消息发送到该组用户中的每个相应的一个。 消息包括被配置为打开通过在线拍卖系统促成所选拍卖中的出价的网页的控件。

    Dynamically determining relative product performance using quantitative values
    9.
    发明授权
    Dynamically determining relative product performance using quantitative values 有权

    公开(公告)号：US11037181B1

    公开(公告)日：2021-06-15

    申请号：US15826168

    申请日：2017-11-29

    Applicant: Amazon Technologies, inc.

    Inventor： Christopher Walton ,  Graham Ritchie ,  Paul Anthony Kotas ,  Sean Donahoe ,  Oliver Masting ,  David Neil Turner ,  Ramesh Ravipati ,  José Lucas Lemos Mendonça ,  Sebastian Koch

    IPC: G06Q30/02

    Abstract: Systems, methods, and computer-readable media are disclosed for dynamically determining relative product performance using quantitative values. In one embodiment, an example method may include determining, by one or more computer processors coupled to at least one memory, a first product of a product catalog, determining a first set of actual performance values for the first product during a first time period, generating a first expected performance model based at least in part on a first set of product attributes for the first product and the first set of actual performance values, determining a first expected performance value for the first product based at least in part on the first expected performance model and the first set of product attributes, determining a first average actual performance value for the first product over the first time period based at least in part on the first set of actual performance values, and determining a first relative performance value for the first product based at least in part on the first average actual performance value and the first expected performance value.

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