Sample Delta Monitoring
    1.
    发明申请

    公开(公告)号:US20220245219A1

    公开(公告)日:2022-08-04

    申请号:US17626704

    申请日:2019-07-19

    Applicant: eBay Inc.

    Abstract: Sample delta monitoring is described herein. In one or more implementations, first and second experimental groups are defined in a randomized controlled trial. A first set of data indicative of a first experimental group in the randomized controlled trial is received. A second set of data indicative of a second experimental group in the randomized controlled trial is received. Based on sample counts of the first and second sets of data, an indication is generated that the experimental groups in the randomized controlled trial are skewed.

    METHODS AND SYSTEMS FOR ASSESSING EXCESSIVE ACCESSORY LISTINGS IN SEARCH RESULTS
    2.
    发明申请
    METHODS AND SYSTEMS FOR ASSESSING EXCESSIVE ACCESSORY LISTINGS IN SEARCH RESULTS 审中-公开
    用于评估搜索结果中超额附件列表的方法和系统

    公开(公告)号:US20160306890A1

    公开(公告)日:2016-10-20

    申请号:US15193892

    申请日:2016-06-27

    Applicant: eBay Inc.

    CPC classification number: G06F16/9535 G06F16/24578 G06F16/951

    Abstract: A system and method for generating a score for a listing are described. A data field of a listing is parsed and at least one element from the data field is generated. A score for the listing is calculated based on the at least one element, the listing score representing a probability of the listing being in one of two binary classifications. The listing score and one or more listing attribute values are inputted into a binary classifier. An output is generated using the binary classifier, the output representing a refined score for the listing based on the listing score and at least one of the listing attribute values.

    Abstract translation: 描述用于生成列表的得分的系统和方法。 解析列表的数据字段,并生成来自数据字段的至少一个元素。 基于至少一个元素计算列表的分数,列表分数表示列表在两个二进制分类之一中的概率。 列表得分和一个或多个列表属性值被输入到二进制分类器中。 使用二进制分类器生成输出,输出表示基于列表分数和列表属性值中的至少一个的列表的精简分数。

    Online Experiment Randomization Evaluation

    公开(公告)号:US20230075026A1

    公开(公告)日:2023-03-09

    申请号:US17406393

    申请日:2021-08-19

    Applicant: eBay Inc.

    Abstract: An online experiment system is described that generates a randomization evaluation for an online experiment, while the experiment is ongoing, indicating whether a distribution of experiment participants allocated to one or more participant groups satisfies an expected distribution. The online experiment system analyzes one of the experiment groups to obtain an observed distribution of the subset of experiment participants included in the experiment group. The online experiment system then evaluates the observed distribution relative to the expected distribution for the experiment according to a decision criteria of a population stability index test. The decision criteria is influenced by a tuning parameter that represents a ratio of experiment participants included in the observed experiment group to experiment participants included in a different experiment group. Responsive to the randomization evaluation indicating that a current distribution of experiment participants fails to satisfy the expected distribution for the experiment, an alert is output.

    DYNAMIC PRICE ELASTICITY IN UNSTRUCTURED MARKETPLACE DATA
    4.
    发明申请
    DYNAMIC PRICE ELASTICITY IN UNSTRUCTURED MARKETPLACE DATA 审中-公开
    非结构化市场数据中的动态价格弹性

    公开(公告)号:US20150161635A1

    公开(公告)日:2015-06-11

    申请号:US14101491

    申请日:2013-12-10

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0206

    Abstract: In an example embodiment, a pseudo product group for an item to be listed in an online marketplace having unstructured data is determined. Then, a fair market price for the item is determined using past data from listings in the pseudo product group. The fair market price may be used as a reference price in a curve of price elasticity versus price to obtain a price elasticity value. A price range may then be recommended to a user for the listing based upon the fair market price and the price elasticity value.

    Abstract translation: 在示例实施例中,确定要在具有非结构化数据的在线市场中列出的项目的伪产品组。 然后,使用伪产品组中的列表中的过去数据确定该项目的公平市场价格。 公平市场价格可以用作价格弹性与价格曲线的参考价格,以获得价格弹性值。 然后可以根据公平的市场价格和价格弹性值向用户推荐价格范围以进行上市。

    METHODS AND SYSTEMS FOR ASSESSING THE QUALITY OF AN ITEM LISTING
    5.
    发明申请
    METHODS AND SYSTEMS FOR ASSESSING THE QUALITY OF AN ITEM LISTING 审中-公开
    评估项目上市质量的方法和系统

    公开(公告)号:US20160321734A1

    公开(公告)日:2016-11-03

    申请号:US15209508

    申请日:2016-07-13

    Applicant: eBay Inc.

    Abstract: Methods and systems for enhancing a user interface of a client device are described. In an example embodiment, a machine processes a query to identify one or more item listings that satisfy the query. Each item listing is associated with at least one item being offered for sale. The machine assigns one or more scores to one or more item listings that satisfy the query based on an observed demand metric derived from historical performance data of the one or more item listings. The machine causes a presentation of the one or more item listings that satisfy the query in a search results page displayed in the user interface of the client device. The one or more item listings are positioned in the search results page based on the one or more scores assigned to the one or more item listings.

    Abstract translation: 描述用于增强客户端设备的用户界面的方法和系统。 在示例实施例中,机器处理查询以识别满足查询的一个或多个项目列表。 每个项目列表与至少一个待出售的项目相关联。 该机器基于从一个或多个项目列表的历史演奏数据导出的观察到的需求度量,将满足查询的一个或多个项目列表分配一个或多个分数。 该机器在客户端设备的用户界面中显示的搜索结果页面中呈现满足查询的一个或多个项目列表。 基于分配给一个或多个项目列表的一个或多个分数,一个或多个项目列表位于搜索结果页面中。

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