Systems and Methods For Contextual Recommendations

    公开(公告)号:US20250016241A1

    公开(公告)日:2025-01-09

    申请号:US18890326

    申请日:2024-09-19

    Applicant: eBay Inc.

    Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

    Sharing item images based on a similarity score

    公开(公告)号:US09727615B2

    公开(公告)日:2017-08-08

    申请号:US14950843

    申请日:2015-11-24

    Applicant: eBay Inc.

    Abstract: Techniques for sharing item images based on a similarity score are described. For example, a machine receives an input item listing for an item from a user device. The machine accesses an existing image that may be associated with one or more existing item listings. The machine identifies a degree of similarity between the input item listing and the one or more existing item listings. The machine generates a similarity score for the existing image based on the degree of similarity. The machine selects one or more existing images corresponding to the one or more existing item listings based on the one or more existing images having corresponding similarity scores that exceed a threshold value. The machine transmits a communication to the user device in response to the receiving of the input item listing. The communication may include the one or more existing images.

    Systems and methods for contextual recommendations
    6.
    发明授权
    Systems and methods for contextual recommendations 有权
    上下文建议的系统和方法

    公开(公告)号:US09202170B2

    公开(公告)日:2015-12-01

    申请号:US14264654

    申请日:2014-04-29

    Applicant: eBay Inc.

    Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

    Abstract translation: 一种在基于网络的系统上向用户提供上下文建议的方法和系统。 例如,跟踪与基于网络的系统交互的用户相关联的活动。 至少部分地基于在基于网络的系统上的跟踪的用户活动,选择推荐关系类型。 推荐关系类型可以是替代关系类型或补体关系类型。 可以至少部分地基于推荐关系类型和由用户与基于网络的系统交互访问的第一对象来选择推荐对象。 可以为推荐的对象生成一个建议,以呈现给与基于网络的系统交互的用户。

    ELECTRONIC PUBLICATION SYSTEM
    8.
    发明申请
    ELECTRONIC PUBLICATION SYSTEM 审中-公开
    电子出版系统

    公开(公告)号:US20140101183A1

    公开(公告)日:2014-04-10

    申请号:US14100821

    申请日:2013-12-09

    Applicant: eBay Inc.

    Abstract: A system and method for modifying publication data in a publication system are described. An example embodiment includes receiving proposed publication data and accessing a success measurement associated with past publications within a publication system. The success measurement may indicate a measurement of success associated with the past publications. An example system and method may generate modification data to be used to modify the proposed publication data. The modification data may be based on the success measurement and proposed publication data.

    Abstract translation: 描述了用于修改发布系统中的发布数据的系统和方法。 示例性实施例包括接收所提出的发布数据并访问与发布系统内的过去出版物相关联的成功测量。 成功测量可能表明衡量与过去出版物相关的成功。 示例性系统和方法可以生成用于修改所提出的发布数据的修改数据。 修改数据可以基于成功测量和所提出的发布数据。

    Search box auto-complete
    9.
    发明授权

    公开(公告)号:US10997220B2

    公开(公告)日:2021-05-04

    申请号:US16237245

    申请日:2018-12-31

    Applicant: eBay Inc.

    Abstract: In various exemplary embodiments, a system and associated method predict auto-complete recommendations for a partial search request. A search engine receives a partial search request with one or more characters from a client device. A first set of auto-complete recommendations corresponding to the one or more characters of the partial search request are identified. A second partial search request is predicted that comprises a set of characters with one or more additional characters added to the one or more characters from the partial search request. A second set of auto-complete recommendations corresponding to the second partial search request is identified. The first set of auto-complete recommendations and the second set of auto-complete recommendations are returned to the client device as a response to the partial search request.

    SYSTEMS AND METHODS FOR CONTEXTUAL RECOMMENDATIONS

    公开(公告)号:US20200344313A1

    公开(公告)日:2020-10-29

    申请号:US16928801

    申请日:2020-07-14

    Applicant: eBay Inc.

    Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

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