公开(公告)号：US09413557B2

公开(公告)日：2016-08-09

申请号：US12818161

申请日：2010-06-18

申请人： Ralf Herbrich ,  Thore Graepel ,  Yoram Bachrach

发明人： Ralf Herbrich ,  Thore Graepel ,  Yoram Bachrach

IPC分类号： G06Q30/00 ,  H04L12/58 ,  G06Q30/02 ,  G06Q50/00

CPC分类号： H04L12/5855 ,  G06Q30/0214 ,  G06Q30/0273 ,  G06Q50/01 ,  H04L51/14 ,  H04L51/32

摘要： Online recommendations are tracked through a forwarding service. The forwarding service can provide such statistics to an ad service, which can provide incentives to the recommending user and a consuming user. Example incentives may include an accumulation of points by the recommending user, a discount to the consuming user if a purchase is made in response to the recommendation, etc. To determine how much of an incentive each participant in the recommendation flow receives, a graph is created to model the recommendation flow and incentives are allocated using a cooperative game description based on this graph that associates each participant with a power index that represents that participants share of the incentive.

摘要翻译： 通过转发服务跟踪在线建议。 转发服务可以将这样的统计信息提供给广告服务，其可以向推荐用户和消费用户提供激励。 示例性激励可以包括推荐用户的积分积分，如果响应于推荐而进行购买，则对消费用户的折扣等。为了确定推荐流程中每个参与者接收到的激励多少， 创建以建模流程的模型和激励是使用基于该图的合作游戏描述来分配的，其将每个参与者与表示激励的参与者份额的权力指数相关联。

公开(公告)号：US20110313832A1

公开(公告)日：2011-12-22

申请号：US12818161

申请日：2010-06-18

申请人： Ralf Herbrich ,  Thore Graepel ,  Yoram Bachrach

发明人： Ralf Herbrich ,  Thore Graepel ,  Yoram Bachrach

IPC分类号： G06Q30/00 ,  G06T11/20

CPC分类号： H04L12/5855 ,  G06Q30/0214 ,  G06Q30/0273 ,  G06Q50/01 ,  H04L51/14 ,  H04L51/32

摘要： Online recommendations are tracked through a forwarding service. The forwarding service can provide such statistics to an ad service, which can provide incentives to the recommending user and a consuming user. Example incentives may include an accumulation of points by the recommending user, a discount to the consuming user if a purchase is made in response to the recommendation, etc. To determine how much of an incentive each participant in the recommendation flow receives, a graph is created to model the recommendation flow and incentives are allocated using a cooperative game description based on this graph that associates each participant with a power index that represents that participants share of the incentive.

摘要翻译： 通过转发服务跟踪在线建议。 转发服务可以将这样的统计信息提供给广告服务，其可以向推荐用户和消费用户提供激励。 示例性激励可以包括推荐用户的积分积分，如果响应于推荐而进行购买，则对消费用户的折扣等。为了确定推荐流程中每个参与者接收到的激励多少， 创建以建模流程的模型和激励是使用基于该图的合作游戏描述来分配的，其将每个参与者与表示激励的参与者份额的权力指数相关联。

公开(公告)号：US11093702B2

公开(公告)日：2021-08-17

申请号：US13530121

申请日：2012-06-22

申请人： Thore Graepel ,  Filip Radlinski ,  Andrew Donald Gordon ,  Pushmeet Kohli ,  John Winn ,  Lucas Bordeaux ,  Yoram Bachrach

发明人： Thore Graepel ,  Filip Radlinski ,  Andrew Donald Gordon ,  Pushmeet Kohli ,  John Winn ,  Lucas Bordeaux ,  Yoram Bachrach

IPC分类号： G06F40/18 ,  G06F40/216 ,  G06F40/226 ,  G06F17/18

摘要： Checking and/or completing for data grids is described such as for grids having rows and columns of cells at least some of which contain data values such as numbers or categories. In various embodiments predictive probability distributions are obtained from an inference engine for one or more of the cells and the predictive probability distributions are used for various tasks such as to suggest values to complete blank cells, highlight cells having outlying values, identify potential errors, suggest corrections to potential errors, identify similarities between cells, identify differences between cells, cluster rows of the data grid, and other tasks. In various embodiments a graphical user interface displays a data grid and provides facilities for completing, error checking/correcting, and analyzing data in the data grid.

公开(公告)号：US20130346844A1

公开(公告)日：2013-12-26

申请号：US13530121

申请日：2012-06-22

申请人： Thore Graepel ,  Filip Radlinski ,  Andrew Donald Gordon ,  Pushmeet Kohli ,  John Winn ,  Lucas Bordeaux ,  Yoram Bachrach

发明人： Thore Graepel ,  Filip Radlinski ,  Andrew Donald Gordon ,  Pushmeet Kohli ,  John Winn ,  Lucas Bordeaux ,  Yoram Bachrach

IPC分类号： G06F17/20

CPC分类号： G06F17/246 ,  G06F17/18 ,  G06F17/2715 ,  G06F17/2725

摘要： Checking and/or completing for data grids is described such as for grids having rows and columns of cells at least some of which contain data values such as numbers or categories. In various embodiments predictive probability distributions are obtained from an inference engine for one or more of the cells and the predictive probability distributions are used for various tasks such as to suggest values to complete blank cells, highlight cells having outlying values, identify potential errors, suggest corrections to potential errors, identify similarities between cells, identify differences between cells, cluster rows of the data grid, and other tasks. In various embodiments a graphical user interface displays a data grid and provides facilities for completing, error checking/correcting, and analyzing data in the data grid.

摘要翻译： 描述数据网格的检查和/或完成，例如对于具有行和列的单元格的网格，其中至少一些包含诸如数字或类别的数据值。 在各种实施例中，从针对一个或多个单元的推理引擎获得预测概率分布，并且将预测概率分布用于各种任务，例如建议完成空白单元的值，突出显示具有偏离值的单元格，识别潜在错误，建议 纠正潜在的错误，识别单元格之间的相似性，识别单元格之间的差异，数据网格的集群行和其他任务。 在各种实施例中，图形用户界面显示数据网格并提供用于完成，错误检查/校正和分析数据网格中的数据的设施。

公开(公告)号：US08560528B2

公开(公告)日：2013-10-15

申请号：US12725862

申请日：2010-03-17

申请人： Ralf Herbrich ,  Yoram Bachrach

发明人： Ralf Herbrich ,  Yoram Bachrach

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30525

摘要： Data structures for collaborative filtering systems are described. In an embodiment sketches which extremely concisely represent a list of items that a user has rated are created and stored for use by a collaborative filtering system to recommend items. For example, the sketches are created by using several versions of a cryptographic hash function to permute the item list and store a minimal value from each permutation in the sketch together with a user rating. In examples the sketches are used to compute estimates of similarity measures between pairs of users such as rank correlations including Spearman's Rho and Kendall's Tau. For example, the similarity measures are used by a collaborative filtering system to accurately and efficiently recommend items to users. For example the sketches are so concise that massive amounts of data can be taken into account in order to give high quality recommendations in a practical manner.

摘要翻译： 描述协作过滤系统的数据结构。 在一个实施例中，创建并存储极其简明地表示用户评级的项目列表的草图，供协作过滤系统用于推荐项目。 例如，草图是通过使用加密散列函数的多个版本来创建的，以便排列项目列表，并将草图中每个排列的最小值与用户评分一起存储。 在示例中，草图用于计算用户对之间的相似性度量的估计，例如等级相关性，包括Spearman的Rho和Kendall的Tau。 例如，协作过滤系统使用相似性度量来准确和有效地向用户推荐项目。 例如，草图非常简洁，可以考虑大量数据，以便以实用的方式提供高质量的建议。

公开(公告)号：US20110231405A1

公开(公告)日：2011-09-22

申请号：US12725862

申请日：2010-03-17

申请人： Ralf Herbrich ,  Yoram Bachrach

发明人： Ralf Herbrich ,  Yoram Bachrach

IPC分类号： G06F17/30

CPC分类号： G06F17/30525

摘要： Data structures for collaborative filtering systems are described. In an embodiment sketches which extremely concisely represent a list of items that a user has rated are created and stored for use by a collaborative filtering system to recommend items. For example, the sketches are created by using several versions of a cryptographic hash function to permute the item list and store a minimal value from each permutation in the sketch together with a user rating. In examples the sketches are used to compute estimates of similarity measures between pairs of users such as rank correlations including Spearman's Rho and Kendall's Tau. For example, the similarity measures are used by a collaborative filtering system to accurately and efficiently recommend items to users. For example the sketches are so concise that massive amounts of data can be taken into account in order to give high quality recommendations in a practical manner.

摘要翻译： 描述协作过滤系统的数据结构。 在一个实施例中，创建并存储极其简明地表示用户评级的项目列表的草图，供协作过滤系统用于推荐项目。 例如，草图是通过使用加密散列函数的多个版本来创建的，以便排列项目列表，并将草图中每个排列的最小值与用户评分一起存储。 在示例中，草图用于计算用户对之间的相似性度量的估计，例如等级相关性，包括Spearman的Rho和Kendall的Tau。 例如，协作过滤系统使用相似性度量来准确和有效地向用户推荐项目。 例如，草图非常简洁，可以考虑大量数据，以便以实用的方式提供高质量的建议。

公开(公告)号：US20100257117A1

公开(公告)日：2010-10-07

申请号：US12417940

申请日：2009-04-03

申请人： Gadi SHVADRON ,  Yoram Bachrach ,  Emil Ismalon ,  Omri Braun

发明人： Gadi SHVADRON ,  Yoram Bachrach ,  Emil Ismalon ,  Omri Braun

IPC分类号： G06Q40/00 ,  G06F17/30 ,  G06N5/02

CPC分类号： G06Q40/06 ,  G06F16/313 ,  G06Q10/04

摘要： A method includes receiving first online messages regarding a financial instrument, and first objective quantitative data that reflect respective first values of a target variable associated with the financial instrument. The first messages are analyzed to generate respective first sentiment scores reflecting respective sentiments expressed in the first messages regarding the financial instrument. An initial prediction model is generated for the target variable by analyzing the first sentiment scores and the associated first values of the target variable. Second messages and objective quantitative data are received and analyzed to generate second sentiment scores and an incremental prediction model. A refined prediction model is generated by combining the initial model with the incremental model. Third messages are received and analyzed to generate third sentiment scores, which are used as input to the refined model to predict a future value of the target variable, which is reported to a user.

摘要翻译： 一种方法包括接收关于金融工具的第一在线消息，以及反映与金融工具相关联的目标变量的各自的第一值的第一客观定量数据。 分析第一消息以产生相应的第一情绪评分，反映在关于金融工具的第一消息中表达的相应情绪。 通过分析目标变量的第一情绪评分和相关联的第一个值，为目标变量生成初始预测模型。 接收和分析第二消息和客观量化数据，以生成第二情绪评分和增量预测模型。 通过将初始模型与增量模型相结合生成精确预测模型。 接收和分析第三个消息以产生第三情绪评分，其被用作精炼模型的输入，以预测向用户报告的目标变量的未来值。