Methods and systems for social network based content recommendations

    公开(公告)号:US09817903B2

    公开(公告)日:2017-11-14

    申请号:US14553853

    申请日:2014-11-25

    Applicant: eBay Inc.

    CPC classification number: G06F17/30867 G06F17/30424 G06F17/3053

    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.

    METHODS AND SYSTEMS FOR SOCIAL NETWORK BASED CONTENT RECOMMENDATIONS
    3.
    发明申请
    METHODS AND SYSTEMS FOR SOCIAL NETWORK BASED CONTENT RECOMMENDATIONS 有权
    基于社会网络的内容建议的方法和系统

    公开(公告)号:US20160147892A1

    公开(公告)日:2016-05-26

    申请号:US14553853

    申请日:2014-11-25

    Applicant: eBay Inc.

    CPC classification number: G06F17/30867 G06F17/30424 G06F17/3053

    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.

    Abstract translation: 提出了系统和方法,用于通过用户行为的多层次社交网络分析来生成建议。 在一些实施例中,系统从多个用户接收在一组数据对象上执行的一组用户交互; 在该组数据对象之间生成一组关联; 并且识别指示该组关联的一组数据对象簇。 该系统基于一组关联和一组数据对象集群来生成该组数据对象的组织,并且基于该用户设备的用户界面,在该用户设备的用户界面上呈现该组数据对象的多个数据对象 组织。

    MACHINE GENERATED RECOMMENDATION AND NOTIFICATION MODELS
    4.
    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。

    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.

    Methods and systems for social network based content recommendations

    公开(公告)号:US11829430B2

    公开(公告)日:2023-11-28

    申请号:US17005679

    申请日:2020-08-28

    Applicant: eBay Inc.

    CPC classification number: G06F16/9535 G06F16/245 G06F16/24578

    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.

    METHODS AND SYSTEMS FOR SOCIAL NETWORK BASED CONTENT RECOMMENDATIONS

    公开(公告)号:US20180052938A1

    公开(公告)日:2018-02-22

    申请号:US15803100

    申请日:2017-11-03

    Applicant: eBay Inc.

    CPC classification number: G06F16/9535 G06F16/245 G06F16/24578

    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.

    METHODS AND SYSTEMS FOR MANAGING N-STREAMS OF RECOMMENDATIONS
    9.
    发明申请
    METHODS AND SYSTEMS FOR MANAGING N-STREAMS OF RECOMMENDATIONS 有权
    用于管理建议的N流的方法和系统

    公开(公告)号:US20160147845A1

    公开(公告)日:2016-05-26

    申请号:US14553918

    申请日:2014-11-25

    Applicant: eBay Inc.

    CPC classification number: G06F3/0482 G06F3/04842 G06F17/30554 G06F17/30867

    Abstract: Systems and methods are presented for evaluating and incorporating a plurality of input streams into a single input stream. In some embodiments, the system generates a first set of recommendations provided by a plurality of input streams and receives one or more selections of recommendations from the first set of input streams. The system determines a session intent based on the one or more selections and selects a set of input streams, from the plurality of input streams, corresponding to the one or more selection and the session intent. The system generates a second set of recommendations using the set of input streams and the session intent and causes presentation of the second set of recommendations on a user interface of a user device.

    Abstract translation: 呈现了用于评估并将多个输入流合并到单个输入流中的系统和方法。 在一些实施例中,系统生成由多个输入流提供的第一组建议,并从第一组输入流接收一个或多个推荐选择。 该系统基于一个或多个选择来确定会话意图,并且从多个输入流中选择一组对应于一个或多个选择和会话意图的输入流。 系统使用一组输入流和会话意图产生第二组建议,并且在用户设备的用户界面上引起第二组建议的呈现。

Patent Agency Ranking