USER TRUST SCORES BASED ON REGISTRATION FEATURES
    1.
    发明申请
    USER TRUST SCORES BASED ON REGISTRATION FEATURES 审中-公开
    基于注册功能的用户信用评分

    公开(公告)号:US20160140355A1

    公开(公告)日:2016-05-19

    申请号:US14548027

    申请日:2014-11-19

    CPC classification number: G06F21/6218 G06F2221/2117

    Abstract: User trust scores based on registration features is described. A system identifies registration features associated with a user registered to interact with a database. The system calculates a registration trust score for the user based on a comparison of multiple registration features associated with the user to corresponding registration features associated with previous users who are restricted from interacting with the database and/or corresponding registration features associated with previous users who are enabled to interact with the database. The system restricts the user from interacting with the database if the registration trust score is above a registration threshold.

    Abstract translation: 描述基于注册功能的用户信任评分。 系统识别与注册为与数据库交互的用户相关联的注册特征。 该系统基于与用户相关联的多个注册特征与与先前用户相关联的对应注册特征的比较来计算用户的注册信任分数,所述注册特征与被限制在与数据库交互的先前用户和/或与先前用户相关联的相应注册特征 启用与数据库交互。 如果注册信任分数高于注册阈值,则系统限制用户与数据库交互。

    Contact recommendations based on purchase history

    公开(公告)号:US10354264B2

    公开(公告)日:2019-07-16

    申请号:US14486111

    申请日:2014-09-15

    Abstract: Contact recommendations based on purchase history are described. A system creates a directed graph of nodes in which at least some of the nodes are connected by directed arcs, wherein a directed arc from a first node to a second node represents a conditional probability that previous users who purchased a first contact also purchased a second contact. The system identifies a set of contacts purchased by a current user. The system estimates a prospective purchase probability based on a historical probability that previous users purchased a specific contact and a related probability that previous users who purchased the specific contact also purchased a contact in the set of contacts, for each candidate contact. The system outputs a recommendation for the current user to purchase a recommended candidate contact based on a corresponding prospective purchase probability.

    USER SCORES BASED ON BULK RECORD UPDATES
    3.
    发明申请
    USER SCORES BASED ON BULK RECORD UPDATES 审中-公开
    基于大写记录更新的用户分数

    公开(公告)号:US20160125347A1

    公开(公告)日:2016-05-05

    申请号:US14532179

    申请日:2014-11-04

    CPC classification number: G06Q10/06398 G06F16/248

    Abstract: User scores based on bulk record updates is described. A system receives record updates submitted by a user. The system subtracts a penalty debit from a user score, which corresponds to the user, for each record which corresponds to at least one of the record updates and which is removed from purchasing availability. The system adds a full credit to the user score for each record which corresponds to at least one of the record updates and which is purchased. The system adds a partial credit to the user score for each record which corresponds to at least one of the record updates and which is yet to be purchased and which is yet to be removed from purchasing availability, wherein the partial credit is a positive value that is less than the full credit. The system enables the user to access records, based on the user score.

    Abstract translation: 描述基于批量记录更新的用户分数。 系统接收用户提交的记录更新。 对于对应于至少一个记录更新并且从购买可用性中移除的每个记录,该系统从对应于用户的用户分数中减去罚金。 该系统对与至少一个记录更新和购买的记录相对应的每个记录的用户分数增加了完整的信用。 该系统对与至少一个记录更新对应的每个记录的用户分数添加部分信用,并且哪些尚未被购买,哪些尚未从购买可用性中移除,其中部分信用是正值 不到全部信用。 该系统使用户能够根据用户得分访问记录。

    Bulk contact recommendations based on attribute purchase history

    公开(公告)号:US10592955B2

    公开(公告)日:2020-03-17

    申请号:US14504593

    申请日:2014-10-02

    Abstract: A system creates a graph of nodes connected by arcs, and identifies a first compound attribute associated with contacts purchased by a current user. The first compound attribute includes a first attribute associated with a first value and a second attribute associated with a second value. The system identifies a directed arc from a first node to a second node. The directed arc is associated with a probability that previous users who purchased a first contact associated with the first compound attribute also purchased a second contact associated with a second compound attribute. The second compound attribute includes the first attribute, associated with a third value which matches the first value, and the second attribute, associated with a fourth value, which lacks a match with the second value. The system outputs a recommendation for the current user to purchase contacts associated with the second compound attribute if the probability exceeds a threshold.

    BULK CONTACT RECOMMENDATIONS BASED ON ATTRIBUTE PURCHASE HISTORY
    5.
    发明申请
    BULK CONTACT RECOMMENDATIONS BASED ON ATTRIBUTE PURCHASE HISTORY 审中-公开
    基于特权采购历史的大量联系建议

    公开(公告)号:US20150269647A1

    公开(公告)日:2015-09-24

    申请号:US14504593

    申请日:2014-10-02

    Abstract: A system creates a graph of nodes connected by arcs, and identifies a first compound attribute associated with contacts purchased by a current user. The first compound attribute includes a first attribute associated with a first value and a second attribute associated with a second value. The system identifies a directed arc from a first node to a second node. The directed arc is associated with a probability that previous users who purchased a first contact associated with the first compound attribute also purchased a second contact associated with a second compound attribute. The second compound attribute includes the first attribute, associated with a third value which matches the first value, and the second attribute, associated with a fourth value, which lacks a match with the second value. The system outputs a recommendation for the current user to purchase contacts associated with the second compound attribute if the probability exceeds a threshold.

    Abstract translation: 系统创建通过弧连接的节点的图形,并且识别与由当前用户购买的联系人相关联的第一复合属性。 第一复合属性包括与第一值相关联的第一属性和与第二值相关联的第二属性。 系统识别从第一节点到第二节点的有向弧。 定向弧与购买与第一复合属性相关联的第一联系人的先前用户也购买了与第二复合属性相关联的第二联系人的概率相关联。 第二复合属性包括与第一值匹配的第三属性的第一属性和与第二值相关联的第二属性,其与第二值相匹配。 如果概率超过阈值,则系统输出当前用户购买与第二化合物属性相关联的联系人的建议。

    CONTACT RECOMMENDATIONS BASED ON PURCHASE HISTORY
    6.
    发明申请
    CONTACT RECOMMENDATIONS BASED ON PURCHASE HISTORY 审中-公开
    联系基于采购历史的建议

    公开(公告)号:US20150269595A1

    公开(公告)日:2015-09-24

    申请号:US14486111

    申请日:2014-09-15

    Abstract: Contact recommendations based on purchase history are described. A system creates a directed graph of nodes in which at least some of the nodes are connected by directed arcs, wherein a directed arc from a first node to a second node represents a conditional probability that previous users who purchased a first contact also purchased a second contact. The system identifies a set of contacts purchased by a current user. The system estimates a prospective purchase probability based on a historical probability that previous users purchased a specific contact and a related probability that previous users who purchased the specific contact also purchased a contact in the set of contacts, for each candidate contact. The system outputs a recommendation for the current user to purchase a recommended candidate contact based on a corresponding prospective purchase probability.

    Abstract translation: 描述了基于购买历史的联系建议。 系统创建节点的有向图,其中至少一些节点通过定向弧连接,其中从第一节点到第二节点的有向弧表示先前用户购买第一个联系人的条件概率也购买了第二个节点 联系。 该系统识别当前用户购买的一组联系人。 该系统基于以前用户购买特定联系人的历史概率以及购买特定联系人的先前用户也为每个候选联系人购买联系人的联系人的相关概率来估计预期购买概率。 该系统基于相应的预期购买概率输出针对当前用户购买推荐候选联系人的建议。

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