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1. 发明授权

US6161130A Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set 失效
标题翻译：利用概率分类器通过自动更新训练集并基于更新的训练集来重新训练分类器来检测“垃圾”电子邮件的技术
公开(公告)号：US6161130A
公开(公告)日：2000-12-12
申请号：US102837
申请日：1998-06-23
申请人： Eric Horvitz , David E. Heckerman , Susan T. Dumais , Mehran Sahami , John C. Platt
发明人： Eric Horvitz , David E. Heckerman , Susan T. Dumais , Mehran Sahami , John C. Platt
IPC分类号： G06F17/30 , G06K9/62 , G06Q10/10 , H04L12/58 , G06F15/16 , G06F15/173
CPC分类号： G06F17/30707 , G06K9/6269 , G06Q10/107 , H04L51/12 , Y10S707/99935 , Y10S707/99936
摘要： A technique, specifically a method and apparatus that implements the method, which through a probabilistic classifier (370) and, for a given recipient, detects electronic mail (e-mail) messages, in an incoming message stream, which that recipient is likely to consider "junk". Specifically, the invention discriminates message content for that recipient, through a probabilistic classifier (e.g., a support vector machine) trained on prior content classifications. Through a resulting quantitative probability measure, i.e., an output confidence level, produced by the classifier for each message and subsequently compared against a predefined threshold, that message is classified as either, e.g., spam or legitimate mail, and, e.g., then stored in a corresponding folder (223, 227) for subsequent retrieval by and display to the recipient. Based on the probability measure, the message can alternatively be classified into one of a number of different folders, depicted in a pre-defined visually distinctive manner or simply discarded in its entirety.
摘要翻译：一种实现该方法的技术，特别是一种方法和装置，其通过概率分类器（370）以及对于给定的接收者在接收到的消息流中检测电子邮件（电子邮件）消息，该接收者可能考虑“垃圾”。具体地，本发明通过在先前内容分类上训练的概率分类器（例如，支持向量机）来区分该接收者的消息内容。通过由每个消息的分类器产生的随后与预定阈值进行比较的结果定量概率测度，即输出置信水平，该消息被分类为例如垃圾邮件或合法邮件，并且例如存储在相应的文件夹（223,227），用于随后由接收者检索和显示。基于概率测量，该消息可替代地被分类为多个不同文件夹中的一个，以预先定义的视觉区别方式描绘，或者完全被丢弃。

2. 发明授权

US06192360B1 Methods and apparatus for classifying text and for building a text classifier 失效
标题翻译：分类文本和构建文本分类器的方法和设备
公开(公告)号：US06192360B1
公开(公告)日：2001-02-20
申请号：US09102946
申请日：1998-06-23
申请人： Susan T. Dumais , David Heckerman , Eric Horvitz , John Carlton Platt , Mehran Sahami
发明人： Susan T. Dumais , David Heckerman , Eric Horvitz , John Carlton Platt , Mehran Sahami
IPC分类号： G06F1700
CPC分类号： G06F17/30707 , G06K9/6269 , Y10S707/99936
摘要： A text classifier and building the text classifier by determining appropriate parameters for the text classifier.
摘要翻译：文本分类器，并通过确定文本分类器的适当参数构建文本分类器。

3. 发明授权

US07822762B2 Entity-specific search model 有权
标题翻译：实体特定搜索模型
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。

4. 发明申请

US20080005076A1 ENTITY-SPECIFIC SEARCH MODEL 有权
标题翻译：实体特定搜索模型
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。

5. 发明申请

US20080005313A1 USING OFFLINE ACTIVITY TO ENHANCE ONLINE SEARCHING 审中-公开
标题翻译：使用离线活动加强在线搜索
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。

6. 发明申请

US20080005069A1 ENTITY-SPECIFIC SEARCH MODEL 审中-公开
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.

7. 发明申请

US20080005067A1 CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
标题翻译：基于语境的搜索，检索和意识
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）。

8. 发明申请

US20080004884A1 EMPLOYMENT OF OFFLINE BEHAVIOR TO DISPLAY ONLINE CONTENT 审中-公开
标题翻译：离线行为的就业显示在线内容
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。

9. 发明申请

US20080005068A1 CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
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).

10. 发明授权

US08700544B2 Functionality for personalizing search results 有权
标题翻译：个性化搜索结果的功能
公开(公告)号：US08700544B2
公开(公告)日：2014-04-15
申请号：US13162906
申请日：2011-06-17
申请人： David A. Sontag , Kevyn B. Collins-Thompson , Paul N. Bennett , Ryen W. White , Susan T. Dumais
发明人： David A. Sontag , Kevyn B. Collins-Thompson , Paul N. Bennett , Ryen W. White , Susan T. Dumais
IPC分类号： G06N5/00 , G06F1/00
CPC分类号： G06F17/30011
摘要： A query processing system is described herein for personalizing results for a particular user. The query processing system operates by receiving a query from a particular user u who intends to find results that satisfy the query with respect to a topic Tu, the user being characterized by user information θu. In one implementation, the query processing system then produces a generic topic distribution Prr(T|q) associated with the query that is germane to a population of generic users, as well as a user-specific query-dependent topic distribution Pr(Tu|q,θu) for the particular user. The query processing system then produces personalized results for the particular user based on Prr(T|q) and Pr(Tu|q,θu). The query processing system can use multiple techniques to produce Pr(Tu|q,θu), such as, in one approach, a discriminative learning approach.
摘要翻译：这里描述了一种用于个性化特定用户的结果的查询处理系统。查询处理系统通过接收来自特定用户的查询，该用户u意图找到满足关于主题Tu的查询的结果，该用户由用户信息和图标表征; u。在一个实现中，查询处理系统然后产生与查询相关联的通用主题分布Prr（T | q），该查询与普通用户的总体以及用户特定的查询相关主题分布Pr（Tu | q，＆thetas; u）对于特定用户。然后，查询处理系统基于Prr（T | q）和Pr（Tu | q，＆thetas; u）产生针对特定用户的个性化结果。查询处理系统可以使用多种技术来产生Pr（Tu | q，＆amp; tt; u），例如在一种方法中的歧视性学习方法。

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