Behavior and information model to yield more accurate probability of successful outcome
    1.
    发明授权
    Behavior and information model to yield more accurate probability of successful outcome 有权
    行为和信息模型产生更准确的成功结果概率

    公开(公告)号:US08996426B2

    公开(公告)日:2015-03-31

    申请号:US13039202

    申请日:2011-03-02

    CPC classification number: G06N7/005

    Abstract: A report indicating a user-reported probability of a successful outcome is received. A behavior and information model is estimated based on the report. The behavior and information model includes a behavior model component having a bias parameter and a consistency parameter. The behavior and information model includes an information model component having a first user-believed probability of a successful outcome and a second user-believed probability of a successful outcome. The behavior and information model is used to yield a model-determined probability of a successful outcome that more accurately reflects a probability of a successful outcome than the user-reported probability of a successful outcome does.

    Abstract translation: 收到表明用户报告的成功结果概率的报告。 行为和信息模型是根据报告估算的。 行为和信息模型包括具有偏差参数和一致性参数的行为模型组件。 行为和信息模型包括具有第一用户相信的成功结果的概率和第二用户相信的成功结果的概率的信息模型组件。 行为和信息模型用于产生成功结果的模型确定概率,其更准确地反映成功结果的概率,而不是用户报告的成功结果的概率。

    Publication planning based on estimated content usage parameters
    2.
    发明授权
    Publication planning based on estimated content usage parameters 有权
    基于估计内容使用参数的出版计划

    公开(公告)号:US08271323B2

    公开(公告)日:2012-09-18

    申请号:US12260643

    申请日:2008-10-29

    CPC classification number: G06Q30/0256 G06Q30/02

    Abstract: Planning a publication includes receiving information about an event, accessing a database of profiles that relate in general to content usage, and using a search engine to match the profiles with the event information to estimate parameters for using content for the event. The publication is planned according to the estimated usage parameters.

    Abstract translation: 规划出版物包括接收有关事件的信息,访问一般与内容使用相关的配置文件的数据库,以及使用搜索引擎将配置文件与事件信息匹配,以估计用于为事件使用内容的参数。 该出版物是根据估计的使用参数计划的。

    Method and apparatus for modeling a business processes

    公开(公告)号:US08554604B2

    公开(公告)日:2013-10-08

    申请号:US09944969

    申请日:2001-08-30

    Applicant: Kay-Yut Chen

    Inventor: Kay-Yut Chen

    CPC classification number: G06Q10/04 G06Q10/0637 G06Q10/06375 G06Q30/0201

    Abstract: A method of determining the behavioral outcome resulting from a business rule includes the step of defining at least one player, business rules, and an environment that defines actions that the player can take in accordance with the business rules. The definitions are translated into a codified script. The behavioral outcome resulting from player-selected actions during execution of the codified script are determined.

    Publication Planning Based On Estimated Content Usage Parameters
    6.
    发明申请
    Publication Planning Based On Estimated Content Usage Parameters 有权
    基于估计内容使用参数的出版物规划

    公开(公告)号:US20100106600A1

    公开(公告)日:2010-04-29

    申请号:US12260643

    申请日:2008-10-29

    CPC classification number: G06Q30/0256 G06Q30/02

    Abstract: Planning a publication includes receiving information about an event, accessing a database of profiles that relate in general to content usage, and using a search engine to match the profiles with the event information to estimate parameters for using content for the event. The publication is planned according to the estimated usage parameters.

    Abstract translation: 规划出版物包括接收有关事件的信息,访问一般与内容使用相关的配置文件的数据库,以及使用搜索引擎将配置文件与事件信息匹配,以估计用于为事件使用内容的参数。 该出版物是根据估计的使用参数计划的。

    Eliciting A Customer's Product Preference Propensities Among Sub-Groups In A Social Network
    7.
    发明申请
    Eliciting A Customer's Product Preference Propensities Among Sub-Groups In A Social Network 审中-公开
    在社会网络中引导客户产品偏好偏好

    公开(公告)号:US20130290109A1

    公开(公告)日:2013-10-31

    申请号:US13457668

    申请日:2012-04-27

    CPC classification number: G06Q30/02 G06Q50/01

    Abstract: A method to elicit a customer's product preference propensities among sub-groups, with each of the sub-groups having multiple members based on at least one common attribute, begins when customer action data is collected through the actions of the customer in the sub-group. The actions include the customer's propensities to purchase a product while within the sub-group and the customers' responses to displayed marketing messages or surveys while within the sub-group. The customer action data collected in the sub-group is analyzed to determine a customer's product preference propensities in the sub-group. The customer is targeted, when within the sub-group, with an electronic display that includes at least one product that corresponds to the customer's product preference propensities within the sub-group.

    Abstract translation: 在通过子组中的客户的动作来收集客户行动数据时,从基于至少一个共同属性的子组中引出客户的产品偏好倾向,其中每个子组具有多个成员 。 这些行动包括客户在子组内购买产品的愿望,以及客户在分组内显示的营销信息或调查的回复。 分析在子组中收集的客户行动数据,以确定客户在子组中的产品偏好倾向。 在子组内,客户的目标是使用电子显示屏,其中包含至少一个与该分组内的客户产品偏好倾向相对应的产品。

    DETERMINING PRODUCT PRICE
    8.
    发明申请
    DETERMINING PRODUCT PRICE 审中-公开
    确定产品价格

    公开(公告)号:US20140019210A1

    公开(公告)日:2014-01-16

    申请号:US13547804

    申请日:2012-07-12

    CPC classification number: G06Q30/02

    Abstract: Methods, systems, and computer-readable and executable instructions are provided for determining a product price. Determining a product price can include determining an initial market attraction value, a market price sensitivity, and cost information for a product. Determining a product price can also include receiving a market constraint with respect to the product and pricing the product based on the initial market attraction value, the market price sensitivity, the cost information, and the market constraint.

    Abstract translation: 提供了用于确定产品价格的方法,系统和计算机可读和可执行指令。 确定产品价格可以包括确定产品的初始市场吸引力值,市场价格敏感度和成本信息。 确定产品价格还可以包括根据初始市场吸引力值,市场价格敏感性,成本信息和市场约束来接收关于产品的市场约束和定价产品。

    MULTI-CHANNEL CAMPAIGN PLANNING
    9.
    发明申请
    MULTI-CHANNEL CAMPAIGN PLANNING 审中-公开
    多渠道营销规划

    公开(公告)号:US20130226691A1

    公开(公告)日:2013-08-29

    申请号:US13405225

    申请日:2012-02-24

    CPC classification number: G06Q30/02

    Abstract: A computer system for multi-channel campaign planning includes a digital processor, and computer readable instructions to plan and manage a multi-channel campaign. The instructions are embedded on a non-transitory, tangible memory device and executable by the processor. The instructions include a scenario outcome predicting module to predict an outcome for a scenario having a set of parameters defined for each channel of a phase of a plurality of iterative phases of the multi-channel campaign. The instructions include an adaptive learning module to generate an optimized learning component of the multi-channel campaign. The instructions include a decision optimization module to optimize the multi-channel campaign over the plurality of iterative phases. The instructions include a campaign execution module to execute the multi-channel campaign and collect outcome data. An initial phase of the plurality of phases is executed without prior outcome data for the scenario of the initial phase.

    Abstract translation: 用于多渠道活动计划的计算机系统包括数字处理器和用于规划和管理多渠道活动的计算机可读指令。 这些指令嵌入在非暂时的有形存储设备中,并且可由处理器执行。 指令包括场景结果预测模块,用于预测具有为多通道活动的多个迭代阶段的阶段的每个通道定义的一组参数的场景的结果。 说明书包括一个自适应学习模块,用于生成多渠道活动的优化学习组件。 指令包括用于优化多个迭代阶段的多通道活动的决策优化模块。 说明书包括执行多渠道活动并收集结果数据的活动执行模块。 执行多个阶段的初始阶段,而没有用于初始阶段的情景的先前结果数据。

    Automated decision support system for designing auctions
    10.
    发明授权
    Automated decision support system for designing auctions 失效
    自动化决策支持系统设计拍卖

    公开(公告)号:US07742968B2

    公开(公告)日:2010-06-22

    申请号:US09858251

    申请日:2001-05-15

    CPC classification number: G06Q30/08 G06Q40/00 G06Q40/04

    Abstract: A computer-implemented automated decision support system for designing an auction for a given item includes a structure extractor that estimates unknown elements of market structure of the auction based on auction characteristics data extracted from historical auctions for similar items and a bidding model matching the extracted auction characteristics data. The decision support system also includes a bidding behavior predictor that predicts bidding behaviors of bidders in the auction based on the estimated unknown elements of market structure and characteristics of the auction. In addition, the system includes an optimizer that employs an evaluation criterion to generate an evaluation of the auction based on (1) the estimated unknown elements of market structure and (2) the predicted bidding behavior of bidders. A method of providing an automated auction analysis is also described.

    Abstract translation: 用于设计给定项目的拍卖的计算机实现的自动决策支持系统包括:结构提取器,其基于从类似物品的历史拍卖中提取的拍卖特征数据和与所提取的拍卖匹配的投标模型来估计拍卖的市场结构的未知元素 特征数据。 决策支持系统还包括投标行为预测器,其基于市场结构和拍卖特征的估计未知元素来预测投标者在拍卖中的投标行为。 另外,该系统还包括一个优化器,它采用评估标准来生成一个拍卖评估,该方法基于(1)市场结构的估计未知元素和(2)投标人的预测投标行为。 还描述了提供自动拍卖分析的方法。

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