PRICING AND LISTING CONFIGURATION RECOMMENDATION ENGINE
    2.
    发明申请
    PRICING AND LISTING CONFIGURATION RECOMMENDATION ENGINE 审中-公开
    定价和上市配置建议引擎

    公开(公告)号:US20150186989A1

    公开(公告)日:2015-07-02

    申请号:US14142517

    申请日:2013-12-27

    Applicant: EBAY INC.

    CPC classification number: G06Q30/08

    Abstract: In an example embodiment, an item characteristic is received, the item characteristic pertaining to an item being listed for sale, by a seller, via an ecommerce service. Then, a plurality of past transactions of items having the item characteristic are analyzed. Based on this analysis, a first set of one or more optimal listing configuration parameters are identified in accordance with a first set of listing criteria. Then, the first set of one or more identified optimal listing configuration parameters to the seller in a user interface that permits the seller to change one or more listing configuration parameters based on the presentation.

    Abstract translation: 在一个示例性实施例中,由卖方通过电子商务服务接收项目特征,属于要出售的项目的项目特征。 然后,分析具有项目特征的项目的多个过去交易。 基于该分析,根据第一组列表标准来识别第一组一个或多个最优列表配置参数。 然后,在用户界面中向卖方提供允许卖方基于呈现改变一个或多个列表配置参数的一个或多个确定的最佳列表配置参数的第一组。

    DETERMINING AND USING BRAND INFORMATION IN ELECTRONIC COMMERCE

    公开(公告)号:US20200320545A1

    公开(公告)日:2020-10-08

    申请号:US16856919

    申请日:2020-04-23

    Applicant: eBay Inc.

    Abstract: An apparatus and method for predicting a brand name of a product are disclosed herein. A product identification number for the product is converted into a normalized global trade item number (GTIN). For each of a plurality of GTIN prefixes corresponding to the normalized GTIN, brand names and counts of each of the brand names using product information stored in a product catalog are identified. A probability distribution of the brand names is determined in accordance with the brand names and the counts of the brand names for the plurality of the GTIN prefixes. A predicted brand name for the product is identified from among the brand names for the plurality of the GTIN prefixes, the predicted brand name having a highest probability score in the probability distribution of the brand names.

    Determining and using brand information in electronic commerce

    公开(公告)号:US10140621B2

    公开(公告)日:2018-11-27

    申请号:US13623697

    申请日:2012-09-20

    Applicant: eBay Inc.

    Abstract: An apparatus and method for predicting a brand name of a product are disclosed herein. A product identification number for the product is converted into a normalized global trade item number (GTIN). For each of a plurality of GTIN prefixes corresponding to the normalized GTIN, brand names and counts of each of the brand names using product information stored in a product catalog are identified. A probability distribution of the brand names is determined in accordance with the brand names and the counts of the brand names for the plurality of the GTIN prefixes. A predicted brand name for the product is identified from among the brand names for the plurality of the GTIN prefixes, the predicted brand name having a highest probability score in the probability distribution of the brand names.

    Dynamically Updated Listing User Interface
    5.
    发明公开

    公开(公告)号:US20230316390A1

    公开(公告)日:2023-10-05

    申请号:US18206878

    申请日:2023-06-07

    Applicant: eBay Inc.

    CPC classification number: G06Q30/08 G06Q30/02

    Abstract: In an example embodiment, an item characteristic is received, the item characteristic pertaining to an item being listed for sale, by a seller, via an ecommerce service. Then, a plurality of past transactions of items having the item characteristic are analyzed. Based on this analysis, a first set of one or more optimal listing configuration parameters are identified in accordance with a first set of listing criteria. Then, the first set of one or more identified optimal listing configuration parameters to the seller in a user interface that permits the seller to change one or more listing configuration parameters based on the presentation.

    Determining and using brand information in electronic commerce

    公开(公告)号:US10657541B2

    公开(公告)日:2020-05-19

    申请号:US16170415

    申请日:2018-10-25

    Applicant: eBay Inc.

    Abstract: An apparatus and method for predicting a brand name of a product are disclosed herein. A product identification number for the product is converted into a normalized global trade item number (GTIN). For each of a plurality of GTIN prefixes corresponding to the normalized GTIN, brand names and counts of each of the brand names using product information stored in a product catalog are identified. A probability distribution of the brand names is determined in accordance with the brand names and the counts of the brand names for the plurality of the GTIN prefixes. A predicted brand name for the product is identified from among the brand names for the plurality of the GTIN prefixes, the predicted brand name having a highest probability score in the probability distribution of the brand names.

    Dynamically updated listing user interface

    公开(公告)号:US10607281B2

    公开(公告)日:2020-03-31

    申请号:US14142517

    申请日:2013-12-27

    Applicant: eBay Inc.

    Abstract: In an example embodiment, an item characteristic is received, the item characteristic pertaining to an item being listed for sale, by a seller, via an ecommerce service. Then, a plurality of past transactions of items having the item characteristic are analyzed. Based on this analysis, a first set of one or more optimal listing configuration parameters are identified in accordance with a first set of listing criteria. Then, the first set of one or more identified optimal listing configuration parameters to the seller in a user interface that permits the seller to change one or more listing configuration parameters based on the presentation.

    DETERMINING AND USING BRAND INFORMATION IN ELECTRONIC COMMERCE

    公开(公告)号:US20190108532A1

    公开(公告)日:2019-04-11

    申请号:US16170415

    申请日:2018-10-25

    Applicant: eBay Inc.

    Abstract: An apparatus and method for predicting a brand name of a product are disclosed herein. A product identification number for the product is converted into a normalized global trade item number (GTIN). For each of a plurality of GTIN prefixes corresponding to the normalized GTIN, brand names and counts of each of the brand names using product information stored in a product catalog are identified. A probability distribution of the brand names is determined in accordance with the brand names and the counts of the brand names for the plurality of the GTIN prefixes. A predicted brand name for the product is identified from among the brand names for the plurality of the GTIN prefixes, the predicted brand name having a highest probability score in the probability distribution of the brand names.

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