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公开(公告)号:US20080004884A1
公开(公告)日:2008-01-03
申请号:US11427680
申请日:2006-06-29
申请人: Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
发明人: Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
IPC分类号: G06Q30/00
CPC分类号: G06Q30/02
摘要: Architecture for targeted advertising using offline user behavior information. Information relating to offline behavior can be collected from cell phones, geolocation systems, credit card information, restaurants, grocery stores, etc., and this information is aggregated and employed in connection with selecting and displaying targeted advertising to a user when online. Machine learning and reasoning can be employed to make inferences and dynamically tune advertisement processing. Offline user information can also be employed to enhance context-based searching when the user goes online. The ranking of search results and content for display can be modified as a function of offline behavior. A system is provided that facilitates online advertising based on at least offline activity using a profile component for aggregating offline behavior information of a user and generating a related user profile. An advertising component employs the user profile in connection with delivery of an advertisement to the user when online.
摘要翻译: 使用离线用户行为信息进行定向广告的架构。 与离线行为有关的信息可以从手机,地理定位系统,信用卡信息,餐馆,杂货店等收集,并且在线上在选择和显示目标广告时与该信息进行聚合和使用。 可以采用机器学习和推理来推理和动态调整广告处理。 离线用户信息也可以用于在用户上线时加强基于上下文的搜索。 搜索结果和显示内容的排名可以根据离线行为进行修改。 提供了一种系统,其利用至少离线活动使用简档组件促进在线广告,用于聚合用户的离线行为信息并生成相关用户简档。 广告组件在联机时使用与向用户发送广告相关联的用户简档。
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公开(公告)号:US20080005313A1
公开(公告)日:2008-01-03
申请号:US11427757
申请日:2006-06-29
申请人: Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
发明人: Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
IPC分类号: G06F15/173
CPC分类号: H04L67/20 , G06F16/9535 , G06Q30/02 , H04L67/22 , H04L67/306
摘要: Architecture for targeted advertising using offline user behavior information. Information relating to offline behavior can be collected from cell phones, geolocation systems, credit card information, restaurants, grocery stores, etc., and this information is aggregated and employed in connection with selecting and displaying targeted advertising to a user when online. Machine learning and reasoning can be employed to make inferences and dynamically tune advertisement processing. Offline user information can also be employed to enhance context-based searching when the user goes online. The ranking of search results and content for display can be modified as a function of offline behavior. A system is provided that facilitates online advertising based on at least offline activity using a profile component for aggregating offline behavior information of a user and generating a related user profile. An advertising component employs the user profile in connection with delivery of an advertisement to the user when online.
摘要翻译: 使用离线用户行为信息进行定向广告的架构。 与离线行为有关的信息可以从手机,地理定位系统,信用卡信息,餐馆,杂货店等收集,并且在线上在选择和显示目标广告时与该信息进行聚合和使用。 可以采用机器学习和推理来推理和动态调整广告处理。 离线用户信息也可以用于在用户上线时加强基于上下文的搜索。 搜索结果和显示内容的排名可以根据离线行为进行修改。 提供了一种系统,其利用至少离线活动使用简档组件促进在线广告,用于聚合用户的离线行为信息并生成相关用户简档。 广告组件在联机时使用与向用户发送广告相关联的用户简档。
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公开(公告)号:US20080005067A1
公开(公告)日:2008-01-03
申请号:US11426981
申请日:2006-06-28
申请人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
发明人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
IPC分类号: G06F17/30
CPC分类号: G06F16/24575
摘要: A system that incorporates a user context into a computer-based search is provided. To establish the context, the innovation can identify information about a user state or context via a variety of sources and sensors. The state/context information can be used to filter, arrange and/or rank search results so as to facilitate converging on meaningful searches and results. Machine learning systems (implicitly and/or explicitly trained) can be employed to infer a current and/or future context related to user. An identified or inferred user context can be employed to modify an automated or user-defined search input/query. Contextual cues can be considered directly in the construction and use of context of context-sensitive retrieval algorithms that are optimized for identifying and/or ranking of informational items of potential interest or value in different contexts. As well, the context can be employed to intelligently render results of a query (e.g., user/application defined, context-modified query).
摘要翻译: 提供了将用户上下文合并到基于计算机的搜索中的系统。 为了建立上下文,创新可以通过各种来源和传感器识别关于用户状态或上下文的信息。 状态/上下文信息可用于过滤,排列和/或排列搜索结果,以便于有意义地搜索和结果的收敛。 可以使用机器学习系统(隐式和/或显式训练)来推断与用户相关的当前和/或将来的上下文。 可以使用识别或推断的用户上下文来修改自动或用户定义的搜索输入/查询。 上下文提示可以直接考虑在对不同上下文中潜在兴趣或价值的信息项目的识别和/或排名进行优化的上下文敏感检索算法的上下文的构建和使用中。 同样,可以使用上下文来智能地呈现查询的结果(例如,定义的用户/应用程序,上下文修改的查询)。
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公开(公告)号:US20080005068A1
公开(公告)日:2008-01-03
申请号:US11426985
申请日:2006-06-28
申请人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
发明人: Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
IPC分类号: G06F17/30
CPC分类号: G06F16/24575
摘要: A system that incorporates a user context into a computer-based search is provided. To establish the context, the innovation can identify information about a user state or context via a variety of sources and sensors. The state/context information can be used to filter, arrange and/or rank search results so as to facilitate converging on meaningful searches and results. Machine learning systems (implicitly and/or explicitly trained) can be employed to infer a current and/or future context related to user. An identified or inferred user context can be employed to modify an automated or user-defined search input/query. Contextual cues can be considered directly in the construction and use of context of context-sensitive retrieval algorithms that are optimized for identifying and/or ranking of informational items of potential interest or value in different contexts. As well, the context can be employed to intelligently render results of a query (e.g., user/application defined, context-modified query).
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公开(公告)号:US20080005079A1
公开(公告)日:2008-01-03
申请号:US11427727
申请日:2006-06-29
申请人: Gary W. Flake , Joshua T. Goodman , Xuedong D. Huang , Bradly A. Brunell , William H. Gates , Ramez Naam , Eric J. Horvitz , Eric D. Brill , Alexander G. Gounares , Oliver Hurst-Hiller , Trenholme J. Griffin , Susan T. Dumais
发明人: Gary W. Flake , Joshua T. Goodman , Xuedong D. Huang , Bradly A. Brunell , William H. Gates , Ramez Naam , Eric J. Horvitz , Eric D. Brill , Alexander G. Gounares , Oliver Hurst-Hiller , Trenholme J. Griffin , Susan T. Dumais
IPC分类号: G06F17/30
CPC分类号: G06F16/9535
摘要: The innovation provides for a computer search to become an action that has direct nexus to an inferred (or determined) goal of an individual. The goal can be inferred or determined from any number of context/state factors. The innovation can query a user to determine user context and state factors by which a goal, objective or intent can be automatically established. The innovation can also utilize machine learning/reasoning to establish the goal of a user based upon historical, statistical and/or other probabilistic analysis. Still further, the innovation can monitor a user's context and state thereafter dynamically journaling and logging the criterion by which the user's objective(s) can be established. Once a goal is established, a goal-based search can be automatically conducted thereafter prompting for an action based upon a subset of the search results.
摘要翻译: 该创新提供了一种计算机搜索,成为一种直接关系到个人推定(或确定)目标的行动。 目标可以从任何数量的上下文/状态因素推断或确定。 创新可以查询用户以确定用户上下文和状态因素,通过该因素可以自动建立目标,目标或意图。 该创新还可以利用机器学习/推理来基于历史,统计和/或其他概率分析建立用户的目标。 此外,创新可以监视用户的上下文和状态,此后动态记录和记录可以建立用户目标的标准。 一旦建立目标,就可以自动执行基于目标的搜索,从而基于搜索结果的子集提示采取行动。
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公开(公告)号:US20080005047A1
公开(公告)日:2008-01-03
申请号:US11427686
申请日:2006-06-29
申请人: Gary W. Flake , Joshua T. Goodman , Xuedong D. Huang , Bradly A. Brunell , William H. Gates , Ramez Naam , Eric J. Horvitz , Eric D. Brill , Alexander G. Gounares , Oliver Hurst-Hiller , Trenholme J. Griffin , Susan T. Dumais
发明人: Gary W. Flake , Joshua T. Goodman , Xuedong D. Huang , Bradly A. Brunell , William H. Gates , Ramez Naam , Eric J. Horvitz , Eric D. Brill , Alexander G. Gounares , Oliver Hurst-Hiller , Trenholme J. Griffin , Susan T. Dumais
IPC分类号: G06N5/04
CPC分类号: G06N5/003
摘要: The innovation provides for a computer search to become an action that has direct nexus to an inferred (or determined) goal of an individual. The goal can be inferred or determined from any number of context/state factors. The innovation can query a user to determine user context and state factors by which a goal, objective or intent can be automatically established. The innovation can also utilize machine learning/reasoning to establish the goal of a user based upon historical, statistical and/or other probabilistic analysis. Still further, the innovation can monitor a user's context and state thereafter dynamically journaling and logging the criterion by which the user's objective(s) can be established. Once a goal is established, a goal-based search can be automatically conducted thereafter prompting for an action based upon a subset of the search results.
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公开(公告)号:US07822762B2
公开(公告)日:2010-10-26
申请号:US11427311
申请日:2006-06-28
申请人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
发明人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
IPC分类号: G06F7/001
CPC分类号: G06F17/30967 , G06F17/30964
摘要: A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
摘要翻译: 提供了一种采用明确和/或隐含训练的模型以返回基于实体的基于计算机的搜索结果的系统。 该创新可以提供定制的搜索模型,其将搜索重点与获得关于实体目标有意义的信息相关联。 该模型可以用于根据实体的目标修改搜索查询,或者生成搜索查询,从而向用户返回有意义和/或有针对性的结果。 系统可以自动收集与实体有关的数据,然后确定或推断目标以及训练模型。 此外,系统可以基于模型选择性地配置(例如,排序,排序,过滤)并将结果呈现给用户。
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公开(公告)号:US20080005076A1
公开(公告)日:2008-01-03
申请号:US11427311
申请日:2006-06-28
申请人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
发明人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
IPC分类号: G06F17/30
CPC分类号: G06F17/30967 , G06F17/30964
摘要: A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
摘要翻译: 提供了一种采用明确和/或隐含训练的模型以返回基于实体的基于计算机的搜索结果的系统。 该创新可以提供定制的搜索模型,其将搜索重点与获得关于实体目标有意义的信息相关联。 该模型可以用于根据实体的目标修改搜索查询,或者生成搜索查询,从而向用户返回有意义和/或有针对性的结果。 系统可以自动收集与实体有关的数据,然后确定或推断目标以及训练模型。 此外,系统可以基于模型选择性地配置(例如,排序,排序,过滤)并将结果呈现给用户。
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公开(公告)号:US20080005069A1
公开(公告)日:2008-01-03
申请号:US11426994
申请日:2006-06-28
申请人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
发明人: Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
IPC分类号: G06F17/30
CPC分类号: G06F16/9535
摘要: A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
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公开(公告)号:US20080004950A1
公开(公告)日:2008-01-03
申请号:US11427761
申请日:2006-06-29
申请人: Xuedong D. Huang , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Oliver Hurst-Hiller
发明人: Xuedong D. Huang , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Oliver Hurst-Hiller
IPC分类号: G06Q30/00
CPC分类号: G06Q30/02 , G06Q30/0269 , G06Q30/0271
摘要: Architecture for presenting advertisements in realtime in retail establishments. A sensor component includes sensors for collecting information about a customer or group of customers as they move through the store. The sensors can include capability for image processing, audio processing, light sensing, velocity sensing, direction sensing, proximity sensing, face recognition, pose recognition, transaction recognition, and biometric sensing, for example. A customer component analyzes the information and generates a profile about the customer. Advertisements are selected for presentation that target the customers as they walk in proximity of a presentation system of the store. An advertisement component facilitates dynamic presentation of a targeted advertisement to the individual as a function of the profile. The customer component can infer information during analysis using machine learning and reasoning.
摘要翻译: 在零售店内实时呈现广告的建筑。 传感器组件包括传感器,用于在客户或客户群经过商店移动时收集有关客户或客户群的信息。 例如,传感器可以包括用于图像处理,音频处理,光感测,速度感测,方向感测,接近感测,面部识别,姿态识别,事务识别和生物测量感测的能力。 客户组件分析信息并生成有关客户的配置文件。 广告被选择用于呈现,当客户在商店的呈现系统附近走动时将其定位成客户。 广告组件有助于作为简档的函数向个人动态地呈现目标广告。 客户组件可以使用机器学习和推理来分析分析期间的信息。
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