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    • 1. 发明申请
    • SELECTIVE DELIVERY OF CONTENT ITEMS
    • 选择性交付内容项目
    • WO2012134765A1
    • 2012-10-04
    • PCT/US2012/028356
    • 2012-03-08
    • GOOGLE INC.CHEN, KaiBENSON, Scott S.YANG, JunAGARWAL, AnuragGILPIN, ScottZHANG, FanMA, Sheng
    • CHEN, KaiBENSON, Scott S.YANG, JunAGARWAL, AnuragGILPIN, ScottZHANG, FanMA, Sheng
    • G06Q10/06G06Q30/02
    • G06Q10/06G06Q30/0241
    • Systems, methods, and computer programs encoded on a computer-readable storage medium for allocating a minimum number of impressions to a content item in order to satisfy a delivery goal for the content item during a certain period of time are described. In some implementations, a satisfaction index (SI) that reflects the degree to which a content selection service is on pace to meet a delivery goal for a content item within some period can be used. The SI can be used to compare the number of impressions that have been allocated to the content item thus far in a period to the delivery or allocation goal for the content item. A content selection service may determine scores for impression allocations based on both an estimate of value and the SI for a candidate content item in order to balance the goals of meeting delivery goals and optimizing impression inventory value.
    • 描述了在计算机可读存储介质上编码的系统,方法和计算机程序,用于向内容项目分配最少数量的展示以便在特定时间段内满足内容项目的传送目标。 在一些实施方案中,可以使用反映内容选择服务在某一时期内满足内容项目的递送目标的步骤的满足度指数(SI)。 SI可以用于将在一段时间内已分配给目标的内容项目的展示次数与内容项目的投放或分配目标进行比较。 内容选择服务可以基于候选内容项目的价值估计和SI来确定印象分配的分数,以便平衡满足递送目标和优化展示库存价值的目标。
    • 4. 发明申请
    • USER LIST GENERATION AND IDENTIFICATION
    • 用户列表生成和标识
    • WO2012030848A2
    • 2012-03-08
    • PCT/US2011/049770
    • 2011-08-30
    • GOOGLE INC.FURMAN, VadimAGARWAL, AnuragMOONKA, Rajas
    • FURMAN, VadimAGARWAL, AnuragMOONKA, Rajas
    • G06Q30/00G06Q10/00
    • G06Q30/02G06Q30/0251G06Q30/0255
    • Methods, systems, computer program products and techniques are described for presenting content. One method includes generating, by a data exchange engine executing on one or more processors, one or more user lists based on owned or permissioned data; importing, by the data exchange engine, user specific data from at least one of a browser, a third-party server, or an advertising database; generating, by the data exchange engine, one or more associations between one or more user lists and the imported user specific data, wherein the associations define whether user specific data correlates to one or more predefined definitions associated with a given user list; storing the associations; and providing user list identifying information to subscribers to a given user list in response to receipt of a content request from a user included in a respective user list.
    • 描述了用于呈现内容的方法,系统,计算机程序产品和技术。 一种方法包括由在一个或多个处理器上执行的数据交换引擎基于拥有或许可的数据来生成一个或多个用户列表; 由数据交换引擎从浏览器,第三方服务器或广告数据库中的至少一个导入用户特定数据; 由所述数据交换引擎生成一个或多个用户列表和所导入的用户特定数据之间的一个或多个关联,其中所述关联定义用户特定数据是否与关联于给定用户列表的一个或多个预定义定义相关; 存储关联; 并且响应于从包括在相应用户列表中的用户接收到内容请求,向给定用户列表的订户提供用户列表标识信息。
    • 7. 发明申请
    • PRICING MODELS FOR USER-RELATED DATA
    • 定价模型用于用户相关数据
    • WO2012031142A2
    • 2012-03-08
    • PCT/US2011/050233
    • 2011-09-01
    • GOOGLE INC.AGARWAL, AnuragMOONKA, RajasZAMIR, Oren E.
    • AGARWAL, AnuragMOONKA, RajasZAMIR, Oren E.
    • G06Q30/00G06Q10/00G06Q50/00
    • G06Q30/02G06Q30/0254
    • The subject matter of this specification can be embodied in, among other things computer-implemented methods for pricing user-related data including receiving, from an advertiser, a subscription to a set of data related to multiple persons. The set of data includes data related to a person and is provided by a data provider. The method includes providing access to the set of data to the advertiser. The method includes receiving offers for an advertisement slot from the advertiser and other advertisers. The advertisement slot is associated with the data related to the person. The method includes selecting at least one of the offers for the advertisement slot. The method includes debiting the advertiser having the subscription for the set of data. The method includes debiting an advertiser having the selected offer for the advertisement slot. The method includes compensating the data provider for the set of data.
    • 本说明书的主题可以体现在用于对用户相关数据进行定价的计算机实现的方法中,包括从广告商接收对与多个人有关的一组数据的订阅 。 该组数据包括与人有关的数据并且由数据提供者提供。 该方法包括向广告商提供对该组数据的访问。 该方法包括从广告商和其他广告商接收广告时段的提议。 广告位与与该人相关的数据相关联。 该方法包括为广告位选择至少一个提议。 该方法包括借记具有该组数据的订阅的广告客户。 该方法包括为具有针对广告位选择的报价的广告商进行借记。 该方法包括为该组数据补偿数据提供者。
    • 9. 发明申请
    • PRICING MODELS FOR USER-RELATED DATA
    • 定价模型用于用户相关数据
    • WO2012030928A2
    • 2012-03-08
    • PCT/US2011/049916
    • 2011-08-31
    • GOOGLE INC.AGARWAL, AnuragMOONKA, RajasZAMIR, Oren E.
    • AGARWAL, AnuragMOONKA, RajasZAMIR, Oren E.
    • G06Q30/00G06Q10/00
    • G06Q30/02G06Q30/0249G06Q30/0269G06Q30/06
    • The subject matter of this specification can be embodied in, among other things, a computer-implemented method for pricing user-related data including receiving first offers from advertisers for data related to a person. The data is a member of a set related to multiple persons. The data is provided by data providers. The method includes selecting one or more of the first offers. The method includes providing access to the data to the advertisers having the selected first offers. The method includes receiving second offers for an advertisement slot from at least the advertisers having the selected first offers. The advertisement slot is associated with the data related to the person. The method includes selecting at least one of the second offers. The method includes debiting the advertisers for the data. The method includes debiting an advertiser for the advertisement slot. The method includes compensating the data providers for the data.
    • 除其他之外,本说明书的主题可以体现为用于对用户相关数据进行定价的计算机实现的方法,包括从广告商接收关于与人有关的数据的第一报价。 数据是与多人相关的一组成员。 数据由数据提供者提供。 该方法包括选择一个或多个第一报价。 该方法包括向具有所选第一提议的广告商提供对数据的访问。 该方法包括从至少具有所选第一提议的广告商接收广告位的第二提议。 广告位与与该人相关的数据相关联。 该方法包括选择第二报价中的至少一个。 该方法包括为广告商收取数据。 该方法包括为广告位登记广告商。 该方法包括为数据补偿数据提供者。