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    • 1. 发明申请
    • SHARED ELECTRONIC INCENTIVES AND COUPONS LEVERAGING SOCIAL CONNECTIONS AND SHEPHERDING
    • 共享的电子激励机制和优势触发社会关系和创造力
    • US20130006738A1
    • 2013-01-03
    • US13174255
    • 2011-06-30
    • Eric HorvitzRoger BargaLili ChengDoug BurgerVinay GuptaXuedong HuangZachary Apter
    • Eric HorvitzRoger BargaLili ChengDoug BurgerVinay GuptaXuedong HuangZachary Apter
    • G06Q30/00
    • G06Q50/01G06Q30/0207
    • Systems and methods for distributing shared electronic coupons are provided. According to one aspect, the electronic coupon may include a coupon benefit display region displaying a textual and/or graphical representation of a coupon benefit. The electronic coupon may further include a candidate display region displaying a list of one or more friends of the user who are determined to be redeemer candidates from among friends in a social network profile or address book of the user. Each redeemer candidate friend in the list has an associated selector, and selection by the user of a selector corresponding to a friend causes the client device to send a message to a coupon server to instruct the coupon server to send the electronic coupon to a client device of the selected friend. Predictive models generated through machine learning may aid in selecting the user to which coupons are distributed and the redeemer candidates.
    • 提供了分发共享电子优惠券的系统和方法。 根据一个方面,电子优惠券可以包括显示优惠券利益的文本和/或图形表示的优惠券利益显示区域。 电子优惠券还可以包括候选显示区域,其显示在用户的社交网络配置文件或地址簿中从朋友中确定为救赎者候选者的用户的一个或多个朋友的列表。 列表中的每个兑换者候选朋友具有关联的选择器,并且用户对与朋友相对应的选择器的选择导致客户端设备向优惠券服务器发送消息以指示优惠券服务器将电子优惠券发送到客户端设备 的所选朋友。 通过机器学习产生的预测模型可能有助于选择分发优惠券的用户和兑换者候选人。
    • 3. 发明申请
    • MULTI-STEP IMPRESSION CAMPAIGNS
    • 多阶段印象裁判
    • US20130006754A1
    • 2013-01-03
    • US13174329
    • 2011-06-30
    • Eric HorvitzLili ChengRoger BargaXuedong HuangZachary ApterSemiha Ece Kamar
    • Eric HorvitzLili ChengRoger BargaXuedong HuangZachary ApterSemiha Ece Kamar
    • G06Q30/00
    • G06Q30/00G06Q30/0251
    • Various embodiments are described for computerized advertising systems and methods. The system may include an ad server that includes an impression campaign engine configured to associate a target user profile with a plurality of computing devices. The ad server is also configured to receive a multi-step impression plan including a plurality of triggers from an advertiser. Each trigger is associated with a different advertisement to be served to at least one of the plurality of devices. The system also includes an ad serving engine configured to serve a first advertisement to a first device in response to making an inference from sensors or detecting a first trigger, and a second advertisement to a second device in response to a second inference or detecting a second trigger, according to the impression plan. A predictive model developed from machine learning may be used to develop a learning-based multi-step impression plan.
    • 针对计算机广告系统和方法描述了各种实施例。 系统可以包括广告服务器,其包括被配置为将目标用户简档与多个计算设备相关联的印象活动引擎。 广告服务器还被配置为接收包括来自广告主的多个触发器的多步展示计划。 每个触发器与要被提供给多个设备中的至少一个的不同广告相关联。 该系统还包括一个广告服务引擎,该广告服务引擎被配置为响应于从传感器进行推断或检测第一触发而向第一设备发送第一广告,并响应于第二推断或检测第二个推断,向第二设备发送第二广告 触发,按照印象计划。 可以使用从机器学习开发的预测模型来开发基于学习的多步印象计划。