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1.
公开(公告)号:JP2005302040A
公开(公告)日:2005-10-27
申请号:JP2005117562
申请日:2005-04-14
Applicant: Microsoft Corp , マイクロソフト コーポレーション
Inventor: FOLTING ALLAN , THIESSON BO , KADIE CARL M , MEEK CHRISTOPHER A , HECKERMAN DAVID E , CHICKERING DAVID M , VIGESAA ERIC B
CPC classification number: G06F17/30592 , G06F2216/03 , Y10S707/99936 , Y10S707/99943
Abstract: PROBLEM TO BE SOLVED: To provide automatic generation of conditioning variables for constructing a data perspective for a target variable by utilizing machine learning techniques. SOLUTION: The best target variable predictors is determined and analyzed for a target variable, and employed them to facilitate the conveying of information about the target variable to a user. It automatically discretizes continuous variables and discrete variables utilized as target variable predictors to establish their granularity. A complexity parameter and/or utility parameter can be specified to facilitate generation of the data perspective via analyzing the best target variable predictor versus the complexity of the conditioning variables and/or utility. The conditioning variables (i.e., target variable predictors) of the data perspective can be adjusted to provide an optimum view, and/or accept control inputs from a user to guide/control the generation of the data perspective. COPYRIGHT: (C)2006,JPO&NCIPI
Abstract translation: 要解决的问题:通过利用机器学习技术来提供用于构建目标变量的数据透视图的自动生成调节变量。 解决方案:为目标变量确定和分析最佳目标变量预测变量,并使用它们来方便向用户传达有关目标变量的信息。 它自动离散化连续变量和离散变量,用作目标变量预测因子以确定其粒度。 可以指定复杂性参数和/或效用参数,以通过分析最佳目标变量预测器与调节变量和/或效用的复杂性来促进数据透视的产生。 可以调整数据透视图的条件变量(即,目标变量预测变量)以提供最佳视图,和/或接受来自用户的控制输入以指导/控制数据透视图的产生。 版权所有(C)2006,JPO&NCIPI
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公开(公告)号:WO2007002750A3
公开(公告)日:2008-03-20
申请号:PCT/US2006025173
申请日:2006-06-27
Applicant: MICROSOFT CORP
Inventor: BORGS CHRISTIAN H , CHAYES JENNIFER T , CHICKERING DAVID M , FEIGE URIEL M , MAHDIAN MOHAMMAD , MEEK CHRISTOPHER A , SABERI AMIN
IPC: G06Q40/00
CPC classification number: G06F17/30864 , G06Q30/02 , G06Q30/08 , G06Q40/04 , Y10S707/99933
Abstract: A computer-implemented system that facilitates establishing price(s) associated with items comprises a clustering component that clusters a collection of non-identical items into one or more sets of non-identical items. A pricing component receives one or more of active bids and stored bids and simulates an auction of at least one non-identical item within one of the one or more sets of non-identical items as if the non-identical items within the set were identical to determine price(s) associated with the at least one non-identical item. For example, the items can be at least portions of search terms received by a search engine.
Abstract translation: 有助于确定与物品相关联的价格的计算机实现的系统包括将不相同物品的集合聚集成一组或多组不相同物品的聚类组件。 定价组件接收一个或多个活动出价和存储的投标,并且模拟一组或多组不相同项目之一内的至少一个不相同项目的拍卖,如同该集合中的不相同的项目是相同的 以确定与所述至少一个不相同项目相关联的价格。 例如,项目可以是搜索引擎接收的搜索项的至少一部分。
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公开(公告)号:WO2010080218A2
公开(公告)日:2010-07-15
申请号:PCT/US2009065235
申请日:2009-11-20
Applicant: MICROSOFT CORP
Inventor: CHICKERING DAVID M , IVERSON KRISTOFER N
CPC classification number: G06F21/36 , G06F2221/2133
Abstract: This document describes image-based human interactive proofs (HIPs). In some cases these proofs may be used when a browser at a client is used to access resources from a web server. Before access to the resources is enabled, the client can be challenged by the web server with an image-based puzzle. The image-based puzzle is configured to enable distinctions to be made between human input and non-human input. Input to answer the image-based puzzle can be formed via the client and communicated to the web server. The web server receives the input from the client and selectively enables client access to the resources based upon the input. In at least some embodiments, the web server can make use of a community database that stores client answers to image-based puzzles to assist in distinguishing between human input and non-human input.
Abstract translation: 本文档描述了基于图像的人工交互式证明(HIP)。 在某些情况下,当客户端的浏览器用于从Web服务器访问资源时,可能会使用这些证明。 在启用资源访问之前,客户端可能会受到基于图像的难题的Web服务器的挑战。 基于图像的拼图被配置为能够在人类输入和非人类输入之间进行区分。 可以通过客户端形成基于图像的拼图的输入,并传达给Web服务器。 Web服务器从客户端接收输入,并根据输入选择性地启用客户端对资源的访问。 在至少一些实施例中,网络服务器可以利用社区数据库来存储基于图像的谜题的客户端答案,以帮助区分人类输入和非人类输入。
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4.
公开(公告)号:WO2008079622A3
公开(公告)日:2011-07-14
申请号:PCT/US2007086655
申请日:2007-12-06
Applicant: MICROSOFT CORP
Inventor: FLAKE GARY W , GOUNARES ALEXANDER G , HORVITZ ERIC J , GOODMAN JOSHUA T , JAIN KAMAL , CHENG LILI , CHICKERING DAVID M , CONNOLLY MICHAEL , DANI NISHANT V , NAJM TAREK , HEMMEN JEFFREY R , SMITH LEONARD , BLINN ARNOLD N , BREWER BRETT D , DIEKEN DARRYN
IPC: G06Q30/00
CPC classification number: G06Q30/02 , G06Q30/0275 , G06Q30/0277
Abstract: The claimed subject matter relates to an architecture or extension to an operating system (or component thereof) that can facilitate extensible themes for or advertising integration with a desktop that is managed by the operating system. In particular, the architecture can acquire advertisement content such as ads or advertiser skins, select suitable content for display, and configure the operating system to display the selected content. The architecture also provides mechanisms for identifying suitable locations as well as appropriate time for displaying the content.
Abstract translation: 所要求保护的主题涉及可以促进对由操作系统管理的桌面的可扩展主题或与广告集成的操作系统(或其组件)的架构或扩展。 特别地,架构可以获取诸如广告或广告主皮肤的广告内容,选择合适的内容进行显示,并且配置操作系统以显示所选择的内容。 该架构还提供用于识别合适位置的机制以及用于显示内容的适当时间。
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公开(公告)号:BRPI0710782A2
公开(公告)日:2011-08-09
申请号:BRPI0710782
申请日:2007-04-17
Applicant: MICROSOFT CORP
Inventor: BURDICK BRIAN , MEEK CHRISTOPHER A , DOMINOWSKA EWA , BIGGS JODY D , CHICKERING DAVID M
IPC: G06Q30/02
Abstract: A system to facilitate trading of advertising comprises a publisher broker representing at least one publisher and to determine an ask for an advertisement space on the publisher's webpage, an advertiser broker representing at least one advertiser and to manage an advertiser's bid for the advertisement space, and an exchange to facilitate a transaction for the advertisement space between the publisher broker and the advertiser broker. A method of facilitating trading of advertising comprises receiving an ask from a publisher broker for advertisement space on a webpage, receiving a bid from an advertiser broker for the advertisement space, and pairing the ask with the bid. A method for enriching user information comprises aggregating user information about a user, storing the aggregate user information according to a user identifier, receiving the user identifier from an exchange, and sending the aggregate user information to the exchange.
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公开(公告)号:CA2664684A1
公开(公告)日:2008-05-22
申请号:CA2664684
申请日:2007-10-22
Applicant: MICROSOFT CORP
Inventor: MEEK CHRISTOPHER A , BIGGS JODY D , CHICKERING DAVID M
IPC: G06Q30/02
Abstract: On-line and/or off-line advertisement interactions are tracked for indivi dual users. This information can then be utilized to adjust display paramete rs for an advertisement. Tracking can be accomplished via a client-side trac king mechanism and/or a server side tracking mechanism. The advertisement in teractions allow advertisers to adjust their advertising campaigns to better target their advertisements. The tracked interactions can include, but are not limited to selections (clicking, etc.) and/or conversions (purchases) an d the like. Some instances include a display component that can employ the u ser-specific interaction information to automatically adjust, for example, l ocation, frequency, and/or to whom an advertisement is displayed. The intera ction information can also be utilized for revenue generation by charging ad vertisers for the information and/or for adjusting their advertising campaig ns and the like. Instances can be utilized with on-line and/or off-line adve rtising media.
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公开(公告)号:BRPI0501784A
公开(公告)日:2006-02-07
申请号:BRPI0501784
申请日:2005-05-23
Applicant: MICROSOFT CORP
Inventor: FOLTING ALLAN , THIESSON BO , HECKERMAN DAVID E , CHICKERING DAVID M , VIGESAA ERIC BARBER
Abstract: The present invention leverages curve fitting data techniques to provide automatic detection of data anomalies in a "data tube" from a data perspective, allowing, for example, detection of data anomalies such as on-screen, drill down, and drill across data anomalies in, for example, pivot tables and / or OLAP cubes. It determines if data substantially deviates from a predicted value established by a curve fitting process such as, for example, a piece-wise linear function applied to the data tube. A threshold value can also be employed by the present invention to facilitate in determining a degree of deviation necessary before a data value is considered anomalous. The threshold value can be supplied dynamically and / or statically by a system and / or a user via a user interface. Additionally, the present invention provides an indication to a user of the type and location of a detected anomaly from a top level data perspective.
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公开(公告)号:CA2505983C
公开(公告)日:2014-11-18
申请号:CA2505983
申请日:2005-04-29
Applicant: MICROSOFT CORP
Inventor: FOLTING ALLAN , THIESSON BO , HECKERMAN DAVID E , CHICKERING DAVID M , VIGESAA ERIC BARBER
Abstract: The present invention leverages curve fitting data techniques to provide automatic detection of data anomalies in a "data tube" from a data perspective, allowing, for example, detection of data anomalies such as on-screen, drill down, and drill across data anomalies in, for example, pivot tables and/or OLAP cubes. It determines if data substantially deviates from a predicted value established by a curve fitting process such as, for example, a piece-wise linear function applied to the data tube. A threshold value can also be employed by the present invention to facilitate in determining a degree of deviation necessary before a data value is considered anomalous. The threshold value can be supplied dynamically and/or statically by a system and/or a user via a user interface. Additionally, the present invention provides an indication to a user of the type and location of a detected anomaly from a top level data perspective.
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公开(公告)号:BRPI0717057A2
公开(公告)日:2013-10-15
申请号:BRPI0717057
申请日:2007-10-22
Applicant: MICROSOFT CORP
Inventor: MEEK CHRISTOPHER A , BIGGS JODY D , CHICKERING DAVID M
Abstract: On-line and/or off-line advertisement interactions are tracked for individual users. This information can then be utilized to adjust display parameters for an advertisement. Tracking can be accomplished via a client-side tracking mechanism and/or a server side tracking mechanism. The advertisement interactions allow advertisers to adjust their advertising campaigns to better target their advertisements. The tracked interactions can include, but are not limited to selections (clicking, etc.) and/or conversions (purchases) and the like. Some instances include a display component that can employ the user-specific interaction information to automatically adjust, for example, location, frequency, and/or to whom an advertisement is displayed. The interaction information can also be utilized for revenue generation by charging advertisers for the information and/or for adjusting their advertising campaigns and the like. Instances can be utilized with on-line and/or off-line advertising media.
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公开(公告)号:ES2371918T3
公开(公告)日:2012-01-11
申请号:ES05103224
申请日:2005-04-21
Applicant: MICROSOFT CORP
Inventor: KADIE CARL M , GOODMAN JOSHUA T , BRADFORD DONALD E , CHICKERING DAVID M , GLASGOW DANE A
Abstract: Un sistema de cumplimentación automática que comprende: un componente de aprendizaje de máquina que usa uno o más conjuntos de entradas para facilitar la cumplimentación automática de formularios basados en la red; y un componente de cumplimentación automática que introduce selectivamente datos en uno o más campos del formulario en base, al menos en parte, a la información generada por el componente de aprendizaje de máquina; caracterizado porque el componente de aprendizaje de máquina comprende un componente de monitorización que observa las entradas del usuario en los campos del formulario; y en el que el componente de aprendizaje de máquina hace uso de una o más entradas de una base de datos y de las entradas observadas para aprender al menos una de las siguientes: una probabilidad de que un campo sea cumplimentado con una entrada de la base de datos multiplicada por una probabilidad de que el campo de la base de datos sea una entrada correcta; y una probabilidad de que un campo no sea cumplimentado con una entrada de la base de datos multiplicada por una probabilidad calculada observado las entradas del usuario.
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