Method and system for generating a linear machine learning model for predicting online user input actions
    2.
    发明授权
    Method and system for generating a linear machine learning model for predicting online user input actions 有权
    用于生成用于预测在线用户输入动作的线性机器学习模型的方法和系统

    公开(公告)号:US08364627B2

    公开(公告)日:2013-01-29

    申请号:US13018303

    申请日:2011-01-31

    IPC分类号: G06F17/00 G06N5/02

    CPC分类号: G06Q30/02

    摘要: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

    摘要翻译: 定向的方法接收几个粒度事件并预处理所接收的粒状事件,从而生成预处理的数据,以便于基于粒状事件构建模型。 该方法通过使用预处理数据生成预测模型。 预测模型用于确定用户动作的可能性。 该方法训练预测模型。 用于定位的系统包括粒状事件,用于接收粒度事件的预处理器,模型生成器和模型。 预处理器具有一个或多个用于修剪,聚合,聚类和/或过滤中的至少一个的模块。 模型生成器用于基于粒度事件构建模型,模型用于确定用户操作的可能性。 一些实施例的系统还包括若干用户,用于从几个用户中选择特定用户组的选择器,训练模型和评分模块。

    SYSTEM AND METHOD FOR OPTIMIZING AN ADVERTISEMENT PLAN FOR ALLOCATING ADVERTISEMENTS TO A CONTRACT IN A NETWORK-BASED ENVIRONMENT
    3.
    发明申请
    SYSTEM AND METHOD FOR OPTIMIZING AN ADVERTISEMENT PLAN FOR ALLOCATING ADVERTISEMENTS TO A CONTRACT IN A NETWORK-BASED ENVIRONMENT 审中-公开
    用于优化广告计划的系统和方法,用于将广告分配给基于网络的环境中的合同

    公开(公告)号:US20100082412A1

    公开(公告)日:2010-04-01

    申请号:US12242696

    申请日:2008-09-30

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/02 G06Q30/0241

    摘要: The present invention is directed to a system and method for optimizing an advertisement plan for allocating advertisements to a contract in a network-based environment. The system and method includes determining a shadow price for an advertisement placement where the advertisement placement is associated with a user having defined characteristics. The system and method includes determining a contract price for the advertisement placement relative to a plurality of advertisement contracts for the user having the defined characteristics. The system and method includes determining an advertisement plan for allocating an advertisement to a given contract on the basis of the shadow price and the contract price. The system and method includes presenting a given advertisement associated with the given contract according to the advertisement plan on network-based output.

    摘要翻译: 本发明涉及一种用于在基于网络的环境中优化用于将广告分配给合同的广告计划的系统和方法。 该系统和方法包括确定广告位置的影子价格,其中广告位置与具有定义的特征的用户相关联。 该系统和方法包括为具有所定义特征的用户确定相对于多个广告合同的广告展示的合同价格。 该系统和方法包括根据阴影价格和合同价格确定用于向给定合同分配广告的广告计划。 系统和方法包括根据基于网络的输出的广告计划呈现与给定合同相关联的给定广告。

    Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions
    4.
    发明申请
    Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions 有权
    用于生成用于预测在线用户输入操作的线性机器学习模型的方法和系统

    公开(公告)号:US20110131160A1

    公开(公告)日:2011-06-02

    申请号:US13018303

    申请日:2011-01-31

    IPC分类号: G06F15/18

    CPC分类号: G06Q30/02

    摘要: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

    摘要翻译: 定向的方法接收几个粒度事件并预处理所接收的粒状事件,从而生成预处理的数据,以便于基于粒状事件构建模型。 该方法通过使用预处理数据生成预测模型。 预测模型用于确定用户动作的可能性。 该方法训练预测模型。 用于定位的系统包括粒状事件,用于接收粒度事件的预处理器,模型生成器和模型。 预处理器具有一个或多个用于修剪,聚合,聚类和/或过滤中的至少一个的模块。 模型生成器用于基于粒度事件构建模型,模型用于确定用户操作的可能性。 一些实施例的系统还包括若干用户,用于从几个用户中选择特定用户组的选择器,训练模型和评分模块。

    Granular data for behavioral targeting using predictive models
    5.
    发明授权
    Granular data for behavioral targeting using predictive models 有权
    使用预测模型的行为定位的粒度数据

    公开(公告)号:US07921069B2

    公开(公告)日:2011-04-05

    申请号:US11770413

    申请日:2007-06-28

    IPC分类号: G06F17/00 G06N5/02

    CPC分类号: G06Q30/02

    摘要: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

    摘要翻译: 定向的方法接收几个粒度事件并预处理所接收的粒状事件,从而生成预处理的数据,以便于基于粒状事件构建模型。 该方法通过使用预处理数据生成预测模型。 预测模型用于确定用户动作的可能性。 该方法训练预测模式。 用于定位的系统包括粒状事件,用于接收粒度事件的预处理器,模型生成器和模型。 预处理器具有一个或多个用于修剪,聚合,聚类和/或过滤中的至少一个的模块。 模型生成器用于基于粒度事件构建模型,模型用于确定用户操作的可能性。 一些实施例的系统还包括若干用户,用于从几个用户中选择特定用户组的选择器,训练模型和评分模块。

    Automatic categorization of network events
    6.
    发明授权
    Automatic categorization of network events 有权
    自动分类网络事件

    公开(公告)号:US07814109B2

    公开(公告)日:2010-10-12

    申请号:US11394342

    申请日:2006-03-29

    IPC分类号: G06F17/30

    CPC分类号: G06Q30/02

    摘要: A system and method to facilitate automatic categorization of events in a network, wherein one or more keywords are retrieved from a keyword database, each retrieved keyword matching a corresponding event unit of an event input by a user over a network. A dominant keyword corresponding to a highest parameter value calculated for each retrieved keyword is then selected. Finally, the event is categorized based on one or more categories associated with the dominant keyword. The dominant keyword may be selected based on one or more keyword categories associated with each retrieved keyword and an ambiguity parameter value calculated for each keyword. Alternatively, the dominant keyword may be selected based on a highest-ranked output value calculated for each retrieved keyword. One or more categories associated with the dominant keyword are subsequently retrieved from the keyword database and the event is categorized based on the category associated with the dominant keyword.

    摘要翻译: 一种促进网络中事件的自动分类的系统和方法,其中从关键字数据库检索一个或多个关键字,每个检索到的关键字匹配用户通过网络输入的事件的相应事件单元。 然后选择对应于针对每个检索到的关键字计算的最高参数值的主要关键字。 最后,事件根据与主要关键字相关联的一个或多个类别进行分类。 可以基于与每个检索到的关键字相关联的一个或多个关键字类别和为每个关键字计算的模糊度参数值来选择主要关键字。 或者,可以基于针对每个检索到的关键字计算的排名最高的输出值来选择主要关键字。 随后从关键字数据库中检索与该主要关键词相关联的一个或多个类别,并且基于与主要关键字相关联的类别对事件进行分类。

    SYSTEM AND METHOD FOR INDEXING SUB-SPACES
    7.
    发明申请
    SYSTEM AND METHOD FOR INDEXING SUB-SPACES 审中-公开
    用于索引子空间的系统和方法

    公开(公告)号:US20100094881A1

    公开(公告)日:2010-04-15

    申请号:US12242748

    申请日:2008-09-30

    IPC分类号: G06F17/30 G06Q30/00 G06F7/08

    摘要: The present invention is directed to systems and methods for identifying compatible advertisement contracts to satisfy an advertisement opportunity. The systems and methods include receiving a number of attribute values associated with a user accessing a network-based location. The systems and methods include sorting an index of lists for a plurality of advertisement contracts on the basis of a number of contract term values. The systems and methods include traversing the index of lists to return a set advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include selecting a given advertisement contract from the set of advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include presenting an advertisement associated with the given advertisement contract on a display viewable by the user accessing the network-based location.

    摘要翻译: 本发明涉及用于识别兼容的广告合同以满足广告机会的系统和方法。 系统和方法包括接收与访问基于网络的位置的用户相关联的多个属性值。 系统和方法包括基于合同项数量的数量来排序多个广告合同的列表索引。 系统和方法包括遍历列表的索引以返回与与用户相关联的属性值的数量兼容的集合广告合同。 系统和方法包括从与用户相关联的属性值的数量兼容的广告合同集合中选择给定的广告合同。 所述系统和方法包括在由用户访问基于网络的位置可见的显示器上呈现与给定广告合同相关联的广告。

    SYSTEMS AND METHODS FOR MICRO-PAYMENTS AND DONATIONS
    9.
    发明申请
    SYSTEMS AND METHODS FOR MICRO-PAYMENTS AND DONATIONS 审中-公开
    微量付款和捐赠的制度和方法

    公开(公告)号:US20130253993A1

    公开(公告)日:2013-09-26

    申请号:US13427554

    申请日:2012-03-22

    申请人: Chad Brower

    发明人: Chad Brower

    IPC分类号: G06Q20/22 G06Q99/00

    摘要: Micro-donations are received from users for various items of content published by different content providers. The micro-donations are aggregated into the user accounts and the content provider accounts until a transaction condition is satisfied. When the transaction condition is satisfied for the user account, a process to collect the micro-donation amount contributed by a respective user to different content providers is effectuated. When the transaction condition is satisfied for a content provider account, the micro-donation amount received from different users and aggregated within the content provider account is provided to the respective content provider. Various user and content provider incentives are implemented to encourage participation by the users and the content providers.

    摘要翻译: 从不同内容提供商发布的各种内容的用户收到微型捐赠。 微型捐款被汇总到用户帐户和内容提供商帐户中,直到满足交易条件。 当对用户帐户满足交易条件时,实现将相应用户贡献给不同内容提供者的微捐款金额的处理。 当满足内容提供商帐户的交易条件时,从各个用户收到的并且在内容提供商帐户内聚合的微量捐赠金额被提供给相应的内容提供商。 实施各种用户和内容提供商的激励措施以鼓励用户和内容提供商的参与。

    System and Method for Automatic Matching of Highest Scoring Contracts to Impression Opportunities Using Complex Predicates and an Inverted Index
    10.
    发明申请
    System and Method for Automatic Matching of Highest Scoring Contracts to Impression Opportunities Using Complex Predicates and an Inverted Index 审中-公开
    使用复杂谓词和倒置索引自动匹配最高评分合同与印象机会的系统和方法

    公开(公告)号:US20110016109A1

    公开(公告)日:2011-01-20

    申请号:US12502742

    申请日:2009-07-14

    IPC分类号: G06F17/30 G06Q30/00 G06Q10/00

    摘要: A method for indexing advertising contracts for rapid retrieval and matching in order to match only the top N satisfying contracts to advertising slots. Descriptions of advertising contracts include logical predicates indicating weighted applicability to a particular demographic. Descriptions of advertising slots also contain logical predicates indicating weighted applicability to particular demographics, thus matches are performed on the basis of a weighed score of intersecting demographics. Disclosed are structure and techniques for receiving a set of contracts with weighted predicates, preparing a data structure index of the set of contracts, receiving an advertising slot with weighted predicates, and retrieving from the data structure only the top N weighted score contracts that satisfy a match to the advertising slot predicates. Various disclosed cases include predicates presented in conjoint forms and in disjoint forms, and techniques are provided to consider indexing and matching in cases of both IN predicates and NOT-IN predicates.

    摘要翻译: 一种用于快速检索和匹配的广告合同索引的方法,以便仅匹配前N个满足合同的广告位。 广告合同的描述包括指示对特定人口的加权适用性的逻辑谓词。 广告时隙的描述还包含逻辑谓词,其指示对特定人口统计特征的加权适用性,因此,基于相交人口统计学的加权得分进行匹配。 公开了用于接收具有加权谓词的一组合同的结构和技术,准备一组合同的数据结构索引,接收具有加权谓词的广告时隙,并且仅从数据结构中检索满足以下条件的前N个加权得分合同 匹配广告位谓词。 各种公开的案例包括以联合形式和不相交形式呈现的谓词,并提供了在IN谓词和NOT-IN谓词的情况下考虑索引和匹配的技术。