公开(公告)号：US20080004990A1

公开(公告)日：2008-01-03

申请号：US11427312

申请日：2006-06-28

申请人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

发明人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0601

摘要： Architecture that facilitates online advertising taking on characteristics of a commodities market approach to purchasing advertising space, options for ad space and a futures market for online ad space. Available advertising space is identified and aggregated, and subsets of the aggregated ad space are offered for purchase using a commodities market-based approach. The architecture facilitates revenue-sharing paradigms, coupon delivery, targeted advertising, point-of-sale transactions, inventory control, just-in-time delivery of ads, content and product/services, value-based advertising models, etc. The architecture comprises an aggregation component that aggregates advertisement space information associated with online advertisements, and a transaction component that facilitates transacting subsets of the aggregated advertisement space information to bidders as a function of supply and demand. The aggregation component receives information about online advertising space that is now available, that will become available in the future, and that is predicted by prediction analysis to become available in the future. Advertisements and/or ad space can be specified based on dynamic sensing of contextual cues.

摘要翻译： 促进网络广告采用商品市场购买广告空间的方式，广告空间选择和在线广告空间的期货市场的架构。 确定和汇总可用的广告空间，并使用基于商品市场的方法提供聚合广告空间的子集。 该架构促进收益分享范例，优惠券交付，有针对性的广告，销售点交易，库存控制，及时交付广告，内容和产品/服务，基于价值的广告模型等。架构包括 聚合与在线广告相关联的广告空间信息的聚合组件，以及有助于将聚合广告空间信息的子集作为供应和需求的函数交易给投标者的交易组件。 聚合组件接收有关现在可用的在线广告空间的信息，这将在将来可用，并且将通过预测分析预测将来可用。 广告和/或广告空间可以基于上下文提示的动态感知来指定。

公开(公告)号：US20080004948A1

公开(公告)日：2008-01-03

申请号：US11427316

申请日：2006-06-28

申请人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

发明人： Gary W. Flake ,  Alexander G. Gounares ,  William H. Gates ,  Kenneth A. Moss ,  Susan T. Dumais ,  Ramez Naam ,  Eric J. Horvitz ,  Joshua T. Goodman

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0275 ,  G06Q30/0277 ,  G06Q30/0601

摘要： Architecture that facilitates online advertising taking on characteristics of a commodities market approach to purchasing advertising space, options for ad space and a futures market for online ad space. Available advertising space is identified and aggregated, and subsets of the aggregated ad space are offered for purchase using a commodities market-based approach. The architecture facilitates revenue-sharing paradigms, coupon delivery, targeted advertising, point-of-sale transactions, inventory control, just-in-time delivery of ads, content and product/services, value-based advertising models, etc. The architecture comprises an aggregation component that aggregates advertisement space information associated with online advertisements, and a transaction component that facilitates transacting subsets of the aggregated advertisement space information to bidders as a function of supply and demand. The aggregation component receives information about online advertising space that is now available, that will become available in the future, and that is predicted by prediction analysis to become available in the future. Advertisements and/or ad space can be specified based on dynamic sensing of contextual cues.

摘要翻译： 促进网络广告采用商品市场购买广告空间的方式，广告空间选择和在线广告空间的期货市场的架构。 确定和汇总可用的广告空间，并使用基于商品市场的方法提供聚合广告空间的子集。 该架构促进收益分享范例，优惠券交付，有针对性的广告，销售点交易，库存控制，及时交付广告，内容和产品/服务，基于价值的广告模型等。架构包括 聚合与在线广告相关联的广告空间信息的聚合组件，以及有助于将聚合广告空间信息的子集作为供应和需求的函数交易给投标者的交易组件。 聚合组件接收有关现在可用的在线广告空间的信息，这将在将来可用，并且将通过预测分析预测将来可用。 广告和/或广告空间可以基于上下文提示的动态感知来指定。

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。

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.

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。

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。

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.

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。

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。

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）。