Image evaluation
    1.
    发明授权

    公开(公告)号:US11449719B2

    公开(公告)日:2022-09-20

    申请号:US16225338

    申请日:2018-12-19

    Applicant: eBay Inc.

    Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

    Generative grammar models for effective promotion and advertising

    公开(公告)号:US11321539B2

    公开(公告)日:2022-05-03

    申请号:US16845767

    申请日:2020-04-10

    Applicant: eBay Inc.

    Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating advertisement messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots to generate an advertisement message for a product listing. An advertisement message is generated in accordance with the generative grammar model and the message is published. The advertisement message for the product listing is then transmitted to a client device.

    Methods and systems for social network based content recommendations

    公开(公告)号:US10795953B2

    公开(公告)日:2020-10-06

    申请号:US15803100

    申请日:2017-11-03

    Applicant: eBay Inc.

    Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.

    Image evaluation
    5.
    发明授权
    Image evaluation 有权
    图像评估

    公开(公告)号:US09384422B2

    公开(公告)日:2016-07-05

    申请号:US14319224

    申请日:2014-06-30

    Applicant: eBay Inc.

    Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

    Abstract translation: 机器可以被配置为对描绘要出售的物品的图像执行图像评估,并提供用于改进描绘物品的图像以增加图像中描绘的物品的销售的建议。 例如,机器访问用户行为分析的结果。 机器从用户设备接收项目的图像。 基于对接收到的图像的分析和用户行为分析的结果,机器对接收到的图像进行图像评估。 图像评估的执行可以包括确定与所接收的图像有关的用户参与期望的用户行为的可能性。 然后,机器基于接收到的图像的评估生成引用接收到的图像的输出,并且指示用户参与所期望的行为的可能性。

    Fashion preference analysis
    6.
    发明授权

    公开(公告)号:US11599929B2

    公开(公告)日:2023-03-07

    申请号:US17102194

    申请日:2020-11-23

    Applicant: eBay Inc.

    Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.

    Predicting purchase session behavior using the shopping funnel model stages

    公开(公告)号:US10185972B2

    公开(公告)日:2019-01-22

    申请号:US14290637

    申请日:2014-05-29

    Applicant: eBay Inc.

    Abstract: A user activity detection engine monitors user activity during user sessions on a publication system, and detects a change in the level of the activity of the user that predicts that the user is about to execute a transaction. The change may be an increase in the level of activity. When the user activity detection engine detects such a change, the system may make an intervention to provide personalized marketing content for display to the user in an effort to improve the probability that the user will execute a transaction, and/or also to motive the user to execute the transaction on the system site instead of moving to a competitor site in search of a different transaction.

    MACHINE GENERATED RECOMMENDATION AND NOTIFICATION MODELS
    10.
    发明申请
    MACHINE GENERATED RECOMMENDATION AND NOTIFICATION MODELS 审中-公开
    机器生成推荐和通报模型

    公开(公告)号:US20160086206A1

    公开(公告)日:2016-03-24

    申请号:US14861741

    申请日:2015-09-22

    Applicant: eBay Inc.

    Abstract: Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.

    Abstract translation: 提供了系统和方法,用于在市场位置系统上匹配买方和卖方,并生成校准的用户简档。 在一个这样的系统中,接收到多个主观估价值。 值的主观估计是预定最小值和预定最大值之间的量度。 生成用户配置文件。 接收与多个主观估计值对应的多个用户动作。 基于多个用户动作来校准用户简档。

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