公开(公告)号：US07899866B1

公开(公告)日：2011-03-01

申请号：US11027895

申请日：2004-12-31

申请人： Jay T. Buckingham ,  Geoffrey J Hulten ,  Joshua T. Goodman ,  Robert L. Rounthwaite

发明人： Jay T. Buckingham ,  Geoffrey J Hulten ,  Joshua T. Goodman ,  Robert L. Rounthwaite

IPC分类号： G06F15/16 ,  G06F11/00

CPC分类号： H04L51/12

摘要： Email spam filtering is performed based on a sender reputation and message features. When an email message is received, a preliminary spam determination is made based, at least in part, on a combination of a reputation associated with the sender of the email message and one or more features of the email message. If the preliminary spam determination indicates that the message is spam, then a secondary spam determination is made based on one or more features of the received email message. If both the preliminary and secondary spam determinations indicate that the received email message is likely spam, then the message is treated as spam.

摘要翻译： 基于发件人信誉和消息功能执行电子邮件过滤。 当接收到电子邮件消息时，至少部分地基于与电子邮件消息的发送者与电子邮件消息的一个或多个特征相关联的信誉的组合来进行初步垃圾邮件确定。 如果初步垃圾邮件确定指示该消息是垃圾邮件，则基于所接收的电子邮件消息的一个或多个特征进行辅助垃圾邮件确定。 如果初步和次要垃圾邮件确定都指示接收的电子邮件可能是垃圾邮件，则该邮件被视为垃圾邮件。

公开(公告)号：US07689652B2

公开(公告)日：2010-03-30

申请号：US11031672

申请日：2005-01-07

申请人： Manav Mishra ,  Elissa E. S. Murphy ,  Geoffrey J Hulten ,  Joshua T. Goodman ,  Wen-Tau Yih

发明人： Manav Mishra ,  Elissa E. S. Murphy ,  Geoffrey J Hulten ,  Joshua T. Goodman ,  Wen-Tau Yih

IPC分类号： G06F15/16 ,  G06F15/173

CPC分类号： H04L51/28 ,  H04L29/1215 ,  H04L51/12 ,  H04L61/1564 ,  H04L63/0227 ,  H04L63/1441

摘要： Email spam filtering is performed based on a combination of IP address and domain. When an email message is received, an IP address and a domain associated with the email message are determined. A cross product of the IP address (or portions of the IP address) and the domain (or portions of the domain) is calculated. If the email message is known to be either spam or non-spam, then a spam score based on the known spam status is stored in association with each (IP address, domain) pair element of the cross product. If the spam status of the email message is not known, then the (IP address, domain) pair elements of the cross product are used to lookup previously determined spam scores. A combination of the previously determined spam scores is used to determine whether or not to treat the received email message as spam.

摘要翻译： 电子邮件垃圾邮件过滤是基于IP地址和域名的组合来执行的。 当接收到电子邮件消息时，确定与电子邮件消息相关联的IP地址和域。 计算IP地址（或IP地址的部分）和域（或域的部分）的交叉乘积。 如果电子邮件消息被称为垃圾邮件或非垃圾邮件，则根据已知垃圾邮件状态的垃圾邮件分数与交叉产品的每个（IP地址，域）对元素相关联地存储。 如果电子邮件的垃圾邮件状态未知，则交叉产品的（IP地址，域）对元素将用于查找先前确定的垃圾邮件分数。 使用先前确定的垃圾邮件分数的组合来确定是否将接收的电子邮件消息视为垃圾邮件。

公开(公告)号：US20090193093A1

公开(公告)日：2009-07-30

申请号：US12419884

申请日：2009-04-07

申请人： Robert George Atkinson ,  Joshua T. Goodman ,  James M. Lyon ,  Roy Williams ,  Khaja E. Ahmed ,  Harry Simon Katz ,  Robert L. Rounthwaite ,  Andrew V. Goldberg ,  Cynthia Dwork

发明人： Robert George Atkinson ,  Joshua T. Goodman ,  James M. Lyon ,  Roy Williams ,  Khaja E. Ahmed ,  Harry Simon Katz ,  Robert L. Rounthwaite ,  Andrew V. Goldberg ,  Cynthia Dwork

IPC分类号： G06F15/16

CPC分类号： G06Q10/107 ,  H04L51/12

摘要： The present invention provides for generating inputs that can be provided to a message classification module to facilitate more reliable classification of electronic messages, such as, for example, as unwanted and/or unsolicited. In one embodiment, a sending messaging server provides an appropriate response to address verification data thereby indicating a reduced likelihood of the sending messaging server using a forged network address. In another embodiment, it is determined if a messaging server is authorized to send electronic messages for a domain. In yet another embodiment, electronic message transmission policies adhered to by a domain are identified. In yet a further embodiment, a sending computer system expends computational resources to solve a computational puzzle and includes an answer document in an electronic message. A receiving computer system receives the electronic message and verifies the answer document.

摘要翻译： 本发明提供了用于生成可以提供给消息分类模块的输入，以便于电子消息的更可靠的分类，诸如例如不想要的和/或未经请求的。 在一个实施例中，发送消息收发服务器提供对地址验证数据的适当响应，从而指示发送消息服务器使用伪造网络地址的可能性降低。 在另一个实施例中，确定消息收发服务器是否被授权发送域的电子消息。 在又一实施例中，识别由域附加的电子消息传输策略。 在又一个实施例中，发送计算机系统花费计算资源来解决计算难题，并且包括电子消息中的应答文档。 接收计算机系统接收电子消息并验证答复文件。

公开(公告)号：US20090006343A1

公开(公告)日：2009-01-01

申请号：US11770458

申请日：2007-06-28

申请人： John C. Platt ,  Gary W. Flake ,  Ramez Naam ,  Anoop Gupta ,  Oliver Hurst-Hiller ,  Trenholme J. Griffin ,  Joshua T. Goodman

发明人： John C. Platt ,  Gary W. Flake ,  Ramez Naam ,  Anoop Gupta ,  Oliver Hurst-Hiller ,  Trenholme J. Griffin ,  Joshua T. Goodman

IPC分类号： G06F7/00

CPC分类号： G06F17/30389

摘要： Architecture for completing search queries by using artificial intelligence based schemes to infer search intentions of users. Partial queries are completed dynamically in real time. Additionally, search aliasing can also be employed. Custom tuning can be performed based on at least query inputs in the form of text, graffiti, images, handwriting, voice, audio, and video signals. Natural language processing occurs, along with handwriting recognition and slang recognition. The system includes a classifier that receives a partial query as input, accesses a query database based on contents of the query input, and infers an intended search goal from query information stored on the query database. A query formulation engine receives search information associated with the intended search goal and generates a completed formal query for execution.

摘要翻译： 通过使用基于人工智能的方案来推断用户的搜索意图来完成搜索查询的架构。 部分查询是实时动态完成的。 此外，还可以使用搜索别名。 可以至少基于文本，涂鸦，图像，手写，语音，音频和视频信号的查询输入进行定制调整。 自然语言处理发生，手写识别和俚语识别。 该系统包括接收部分查询作为输入的分类器，基于查询输入的内容访问查询数据库，并从存储在查询数据库中的查询信息推断预期的搜索目标。 查询制定引擎接收与预期搜索目标相关联的搜索信息，并生成完成的正式查询以供执行。

公开(公告)号：US20080109425A1

公开(公告)日：2008-05-08

申请号：US11591937

申请日：2006-11-02

申请人： Wen-tau Yih ,  Joshua T. Goodman ,  Lucretia H. Vanderwende ,  Hisami Suzuki

发明人： Wen-tau Yih ,  Joshua T. Goodman ,  Lucretia H. Vanderwende ,  Hisami Suzuki

IPC分类号： G06F17/30 ,  G06F15/18 ,  G06F9/44

CPC分类号： G06F17/30719

摘要： Document summarization is performed by scoring individual words in sentences in a document or document cluster. Sentences from the document or document cluster are selected to form a summary based on the scores of the words contained in those sentences.

摘要翻译： 通过在文档或文档集群中的句子中的单个单词进行评分来执行文档摘要。 选择文档或文档集合中的句子，以便根据这些句子中包含的单词的分数来形成一个摘要。

公开(公告)号：US20080005264A1

公开(公告)日：2008-01-03

申请号：US11427313

申请日：2006-06-28

申请人： Bradly A. Brunell ,  Susan T. Dumais ,  Joshua T. Goodman ,  Eric J. Horvitz ,  Gary Flake ,  Anoop Gupta ,  Christopher A. Meek ,  Ramez Naam ,  Kyle Peltonen

发明人： Bradly A. Brunell ,  Susan T. Dumais ,  Joshua T. Goodman ,  Eric J. Horvitz ,  Gary Flake ,  Anoop Gupta ,  Christopher A. Meek ,  Ramez Naam ,  Kyle Peltonen

IPC分类号： G06F15/16

CPC分类号： H04L63/0407 ,  G06F21/6254 ,  G06F21/6263 ,  H04L29/12433 ,  H04L61/2539 ,  H04L63/0414 ,  H04L63/164

摘要： The subject disclosure pertains to anonymous network interaction. More specifically, mechanisms are provided to ensure anonymity with respect network interaction such that third parties are unable to determine the source and/or intent of communications. Accordingly, entities can anonymize all outgoing and/or incoming data packets so as to mitigate outside entities from learning about information being sought and/or provided. For example, a user or corporation can employ an anonymizer with respect to web searching so that outside entities are not able to determine what information is attempted to be accessed and by whom.

摘要翻译： 主题公开涉及匿名网络交互。 更具体地，提供机制以确保与网络交互相关的匿名性，使得第三方不能确定通信的源和/或意图。 因此，实体可以对所有输出和/或输入数据分组进行匿名化，以便减轻外部实体不需要寻求和/或提供的信息。 例如，用户或公司可以使用关于网页搜索的匿名器，使得外部实体不能确定尝试访问哪些信息以及由谁访问。

公开(公告)号：US20080005105A1

公开(公告)日：2008-01-03

申请号：US11427305

申请日：2006-06-28

申请人： Stephen Lawler ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Anoop Gupta ,  Christopher A. Meek ,  Eric D. Brill ,  Gary W. Flake ,  Ramez Naam ,  Surajit Chaudhuri ,  Oliver Hurst-Hiller

发明人： Stephen Lawler ,  Eric J. Horvitz ,  Joshua T. Goodman ,  Anoop Gupta ,  Christopher A. Meek ,  Eric D. Brill ,  Gary W. Flake ,  Ramez Naam ,  Surajit Chaudhuri ,  Oliver Hurst-Hiller

IPC分类号： G06F17/30

CPC分类号： G06F17/30256 ,  G06F17/3002 ,  G06F17/30026 ,  G06F17/30038 ,  G06F17/30047 ,  G06F17/30864

摘要： A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.

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：US20080005075A1

公开(公告)日：2008-01-03

申请号：US11427302

申请日：2006-06-28

申请人： Eric J. Horvitz ,  William H. Gates ,  Joshua T. Goodman ,  Bradly A. Brunell ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Kenneth A. Moss ,  Raymond E. Ozzie ,  John C. Platt

发明人： Eric J. Horvitz ,  William H. Gates ,  Joshua T. Goodman ,  Bradly A. Brunell ,  Gary W. Flake ,  Oliver Hurst-Hiller ,  Kenneth A. Moss ,  Raymond E. Ozzie ,  John C. Platt

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： Provided is mechanism for guiding computer searches (e.g. web, Internet, intranet . . . ). Machine learning and reasoning mechanisms are employed together with a search engine to facilitate intelligent guidance of queries and results based on a query and responses to computer generated inquires.Also, disclosed is a mechanism that enables users to validate computer-based information. Users can receive a validity metric associated with computer generated or provided results indicative of the veracity of such results. Validation systems and methods are disclosed to facilitate determining the veracity of results including those that employ humans (e.g., referrals, voting . . . ) and/or automated means (e.g. source analysis, data mining. . . ).

摘要翻译： 提供了用于引导计算机搜索的机制（例如，web，因特网，内联网...）。 机器学习和推理机制与搜索引擎一起使用，以便根据查询和对计算机生成的查询的响应来促进对查询和结果的智能指导。 此外，公开了一种使用户能够验证基于计算机的信息的机制。 用户可以收到与计算机生成或提供的结果相关联的有效性度量，表明这些结果的真实性。 公开了验证系统和方法以便于确定结果的真实性，包括使用人类（例如转介，投票...）和/或自动化手段（例如源分析，数据挖掘等）的结果的真实性。

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。