公开(公告)号：US09396269B2

公开(公告)日：2016-07-19

申请号：US11427288

申请日：2006-06-28

申请人： Christopher A. Meek ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Anoop Gupta ,  Ramez Naam ,  Kenneth A. Moss ,  William H. Gates, III ,  John C. Platt ,  Trenholme J. Griffin ,  Bradly A. Brunell

发明人： Christopher A. Meek ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Anoop Gupta ,  Ramez Naam ,  Kenneth A. Moss ,  William H. Gates, III ,  John C. Platt ,  Trenholme J. Griffin ,  Bradly A. Brunell

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Architecture that monitors interaction data (e.g., search queries, query results and click-through rates), and provides users with links to other users that fall into similar categories with respect to the foregoing monitored activities (e.g., providing links to individuals and groups that share common interests and/or profiles). A search engine can be interactively coupled with one or more social networks, and that maps individuals and/or groups within respective social networks to subsets of categories associated with searches. A database stores mapped information which can be continuously updated and reorganized as links within the system mapping become stronger or weaker. The architecture can comprise a social network system that includes a database for mapping search-related information to an entity of a social network, and a search component for processing a search query for search results and returning a link to an entity of a social network based on the search query.

摘要翻译： 监视交互数据（例如搜索查询，查询结果和点击率）的架构，并向用户提供与上述受监视活动相类似的类别的其他用户的链接（例如，提供与个人和组的链接 分享共同的兴趣和/或简介）。 搜索引擎可以与一个或多个社交网络交互地耦合，并且将各个社交网络内的个人和/或组映射到与搜索相关联的类别的子集。 数据库存储可以不断更新和重新组织的映射信息，因为系统映射中的链接变得更强或更弱。 该架构可以包括社交网络系统，其包括用于将搜索相关信息映射到社交网络的实体的数据库，以及用于处理搜索结果的搜索查询并返回到基于社交网络的实体的链接的搜索组件 在搜索查询上。

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：US08874592B2

公开(公告)日：2014-10-28

申请号：US11427287

申请日：2006-06-28

申请人： Gary W. Flake ,  William H. Gates, III ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

发明人： Gary W. Flake ,  William H. Gates, III ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/30061 ,  G06F17/30241 ,  G06F17/3087 ,  G06Q30/0261

摘要： The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.

摘要翻译： 本发明涉及网络搜索，更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息（例如，用户特征/简档，先前交互/使用时间，当前事件和第三方状态/上下文）重新配置查询和/或过滤结果来影响所得到的内容。 ）。 此外，本公开提供了在指定的web内容的至少一个子集上的查询执行，例如由用户指定的。 此外，公开了一种本地化的营销系统，其向与用户相匹配的商品标准（包括接近度）提供折扣优惠。 可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据，以识别提供给用户以获得期望结果的最佳折扣和期限。

公开(公告)号：US20080005104A1

公开(公告)日：2008-01-03

申请号：US11427290

申请日：2006-06-28

申请人： Gary W. Flake ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

发明人： Gary W. Flake ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/9537

摘要： A localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. Further, a system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.Another aspect of the disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user.

摘要翻译： 公开了一种本地化的营销系统，其提供与包括邻近度的商家标准匹配的用户的折扣优惠。 此外，可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据以识别提供给用户以获得期望结果的最佳折扣和期限。 本公开的另一方面涉及网络搜索，并且更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息（例如，用户特征/简档，先前交互/使用时间，当前事件和第三方状态/上下文）重新配置查询和/或过滤结果来影响所得到的内容。 ）。 此外，本公开提供了在指定的web内容的至少一个子集上的查询执行，例如由用户指定的。

公开(公告)号：US20080004951A1

公开(公告)日：2008-01-03

申请号：US11427764

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。

公开(公告)号：US08725567B2

公开(公告)日：2014-05-13

申请号：US11427761

申请日：2006-06-29

申请人： Xuedong D. Huang ,  William H. Gates, III ,  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, III ,  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。

公开(公告)号：US20080005071A1

公开(公告)日：2008-01-03

申请号：US11427287

申请日：2006-06-28

申请人： Gary W. Flake ,  William H. Gates ,  Trenholme J. Griffin ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

发明人： Gary W. Flake ,  William H. Gates ,  Trenholme J. Griffin ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/30061 ,  G06F17/30241 ,  G06F17/3087 ,  G06Q30/0261

摘要： The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.

摘要翻译： 本发明涉及网络搜索，更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息（例如，用户特征/简档，先前交互/使用时间，当前事件和第三方状态/上下文）重新配置查询和/或过滤结果来影响所得到的内容。 ）。 此外，本公开提供了在指定的web内容的至少一个子集上的查询执行，例如由用户指定的。 此外，公开了一种本地化的营销系统，其向与用户相匹配的商品标准（包括接近度）提供折扣优惠。 可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据，以识别提供给用户以获得期望结果的最佳折扣和期限。

公开(公告)号：US20080005074A1

公开(公告)日：2008-01-03

申请号：US11427296

申请日：2006-06-28

申请人： Gary W. Flake ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

发明人： Gary W. Flake ,  William H. Gates ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Surajit Chaudhuri ,  Trenholme J. Griffin ,  Oliver Hurst-Hiller ,  Kenneth A. Moss

IPC分类号： G06F17/30

CPC分类号： G06F16/951

摘要： The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.

摘要翻译： 本发明涉及网络搜索，更具体地涉及影响结果内容以增加相关性。 可以通过基于用户位置和/或上下文信息（例如，用户特征/简档，先前交互/使用时间，当前事件和第三方状态/上下文）重新配置查询和/或过滤结果来影响所得到的内容。 ）。 此外，本公开提供了在指定的web内容的至少一个子集上的查询执行，例如由用户指定的。 此外，公开了一种本地化的营销系统，其向与用户相匹配的商品标准（包括接近度）提供折扣优惠。 可以采用用于主动探测具有不同参数和监测响应的用户群体的系统来收集数据，以识别提供给用户以获得期望结果的最佳折扣和期限。

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。

公开(公告)号：US20080005223A1

公开(公告)日：2008-01-03

申请号：US11427315

申请日：2006-06-28

申请人： Gary W. Flake ,  Eric J. Horvitz ,  John C. Platt ,  Joshua T. Goodman ,  William H. Gates ,  Alexander G. Gounares ,  Kenneth A. Moss ,  Christopher A. Meek

发明人： Gary W. Flake ,  Eric J. Horvitz ,  John C. Platt ,  Joshua T. Goodman ,  William H. Gates ,  Alexander G. Gounares ,  Kenneth A. Moss ,  Christopher A. Meek

IPC分类号： G06F15/173 ,  G06F15/18

CPC分类号： G06F16/951

摘要： Architecture for creation and processing of reputation data for entities such as websites, users, hardware, software, documents, objects and facts. Reputation data can be utilized in connection with web-based searching such that the reputation of websites provides a metric in connection with ranking of search results as well as enhancing delivery of meaningful and accurate information to users. A computer-implemented system is provided that comprises an aggregation component for receiving and aggregating information relating to an entity (e.g., user, website, data, hardware, software), and a reputation engine that employs the aggregated information to generate reputation data therefrom. Other aspects allow for management of the data, hardware and software based on the reputation data, and access to such entities.

摘要翻译： 用于创建和处理网站，用户，硬件，软件，文档，对象和事实等实体的声誉数据的架构。 信誉数据可以与基于网络的搜索结合使用，使得网站的信誉提供与搜索结果的排名相关的度量，并且增强对用户的有意义和准确的信息的传递。 提供了一种计算机实现的系统，其包括用于接收和聚合与实体（例如，用户，网站，数据，硬件，软件）相关的信息的聚合组件，以及使用聚合信息从其生成信誉数据的信誉引擎。 其他方面允许基于信誉数据管理数据，硬件和软件以及访问这些实体。