专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08224905B2 Spam filtration utilizing sender activity data 有权
标题翻译：垃圾邮件过滤利用发送者活动数据
公开(公告)号：US08224905B2
公开(公告)日：2012-07-17
申请号：US11567632
申请日：2006-12-06
申请人： Alexei V. Bocharov , Joshua T. Goodman
发明人： Alexei V. Bocharov , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： G06Q10/107
摘要： Spam is identified by computing sender reputation derived from historical activity data across counts for various categories. A spam filter or machine learning system can be trained utilizing pre-categorized data in conjunction with activity data associated with a sender aggregated across at least one time period. This sender activity filter can be employed alone or in combination with other filters to facilitate classification of messages as spam or non-spam.
摘要翻译：通过计算来自各种类别的历史活动数据的发送者信誉来识别垃圾邮件。可以使用预先分类的数据结合在至少一个时间段内聚集的发送者的活动数据来训练垃圾邮件过滤器或机器学习系统。该发件人活动过滤器可以单独使用或与其他过滤器组合使用，以便于将邮件分类为垃圾邮件或非垃圾邮件。

2. 发明申请

US20070299815A1 Automatically Displaying Keywords and Other Supplemental Information 有权
标题翻译：自动显示关键字和其他补充信息
公开(公告)号：US20070299815A1
公开(公告)日：2007-12-27
申请号：US11426509
申请日：2006-06-26
申请人： Bryan T. Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M. Anand , Joshua T. Goodman , Alexei V. Bocharov
发明人： Bryan T. Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M. Anand , Joshua T. Goodman , Alexei V. Bocharov
IPC分类号： G06F17/30
CPC分类号： G06F17/30648 , Y10S707/99933
摘要： Various embodiments can utilize information that is displayed for a user to automatically generate a list of keywords and use that list as a means to display supplemental information that is relevant to the keywords. In at least some embodiments, the displayed information is analyzed using an extraction algorithm to identify words or, more generally, character strings of interest. If these words or character strings of interest are determined to constitute relevant search terms or “keywords”, then a special user interface portion can be used to display this supplemental information along with the information that is already displayed for the user. This supplemental information can include the search terms themselves, ads that pertain to the search terms, and/or search results that have been ascertained from a web search engine.
摘要翻译：各种实施例可以利用为用户显示的信息来自动生成关键字列表，并使用该列表作为显示与关键字相关的补充信息的手段。在至少一些实施例中，使用提取算法来分析所显示的信息以识别字词，或者更一般地，识别感兴趣的字符串。如果确定这些关键词或字符串构成相关搜索词或“关键字”，则可以使用特殊用户界面部分来显示该补充信息以及已经为用户显示的信息。该补充信息可以包括搜索词本身，与搜索词相关的广告，和/或已从网页搜索引擎确定的搜索结果。

3. 发明授权

US07664740B2 Automatically displaying keywords and other supplemental information 有权
标题翻译：自动显示关键字和其他补充信息
公开(公告)号：US07664740B2
公开(公告)日：2010-02-16
申请号：US11426509
申请日：2006-06-26
申请人： Bryan T Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M Anand , Joshua T. Goodman , Alexei V Bocharov
发明人： Bryan T Starbuck , Ojiakonobi Udezue , Stephen Lardieri , Manish M Anand , Joshua T. Goodman , Alexei V Bocharov
IPC分类号： G06F7/00
CPC分类号： G06F17/30648 , Y10S707/99933
摘要： Various embodiments can utilize information that is displayed for a user to automatically generate a list of keywords and use that list as a means to display supplemental information that is relevant to the keywords. In at least some embodiments, the displayed information is analyzed using an extraction algorithm to identify words or, more generally, character strings of interest. If these words or character strings of interest are determined to constitute relevant search terms or “keywords”, then a special user interface portion can be used to display this supplemental information along with the information that is already displayed for the user. This supplemental information can include the search terms themselves, ads that pertain to the search terms, and/or search results that have been ascertained from a web search engine.
摘要翻译：各种实施例可以利用为用户显示的信息来自动生成关键字列表，并使用该列表作为显示与关键字相关的补充信息的手段。在至少一些实施例中，使用提取算法来分析所显示的信息以识别字词，或者更一般地，识别感兴趣的字符串。如果确定这些关键词或字符串构成相关搜索词或“关键字”，则可以使用特殊用户界面部分来显示该补充信息以及已经为用户显示的信息。该补充信息可以包括搜索词本身，与搜索词相关的广告，和/或已从网页搜索引擎确定的搜索结果。

4. 发明申请

US20080140781A1 SPAM FILTRATION UTILIZING SENDER ACTIVITY DATA 有权
标题翻译：垃圾邮件过滤利用SENDER活动数据
公开(公告)号：US20080140781A1
公开(公告)日：2008-06-12
申请号：US11567632
申请日：2006-12-06
申请人： Alexei V. Bocharov , Joshua T. Goodman
发明人： Alexei V. Bocharov , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： G06Q10/107
摘要： Spam is identified by computing sender reputation derived from historical activity data across counts for various categories. A spam filter or machine learning system can be trained utilizing pre-categorized data in conjunction with activity data associated with a sender aggregated across at least one time period. This sender activity filter can be employed alone or in combination with other filters to facilitate classification of messages as spam or non-spam.
摘要翻译：通过计算来自各种类别的历史活动数据的发送者信誉来识别垃圾邮件。可以使用预先分类的数据结合在至少一个时间段内聚集的发送者的活动数据来训练垃圾邮件过滤器或机器学习系统。该发件人活动过滤器可以单独使用或与其他过滤器组合使用，以便于将邮件分类为垃圾邮件或非垃圾邮件。

5. 发明授权

US09396269B2 Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce 有权
标题翻译：在通信，检索和电子商务中识别和使用社交网络的搜索引擎
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。

6. 发明授权

US07997485B2 Content presentation based on user preferences 有权
标题翻译：基于用户偏好的内容呈现
公开(公告)号：US07997485B2
公开(公告)日：2011-08-16
申请号：US11427748
申请日：2006-06-29
申请人： Gary W. Flake , Eric J. Horvitz , Joshua T. Goodman , Eric D. Brill , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Oliver Hurst-Hiller , Raymond E. Ozzie
发明人： Gary W. Flake , Eric J. Horvitz , Joshua T. Goodman , Eric D. Brill , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Oliver Hurst-Hiller , Raymond E. Ozzie
IPC分类号： G06K15/00
CPC分类号： G06F21/6245 , G06Q30/02 , G06Q30/0273 , H04L63/0227 , H04L63/102 , H04L63/1483 , H04L67/306 , H04W12/12
摘要： Architecture is provided that facilitates user-controlled access to user profile information. A user is allowed to selectively expose (or mask) portions of his/her profile to third parties. Additionally, advertisers and/or content providers can offer incentives or enticement in response to the acceptance of which a user exposes larger portions of their profile. The architecture comprises a system that facilitates profile management utilizing a profile component that facilitates creation and storage of an electronic profile of a user, and a control component under control of the user for controlling access to the profile. Machine learning and reasoning is provided to make inferences and automate aspects thereof.
摘要翻译：提供了便于用户控制访问用户简档信息的体系结构。允许用户选择性地（或掩盖）他/她的个人资料的部分到第三方。此外，广告商和/或内容提供商可以提供激励或诱惑以响应用户公开其配置文件的较大部分的接受。该架构包括利用简化组件来促进简档管理的系统，该简档组件便于用户的电子简档的创建和存储，以及用户控制下的用于控制对简档的访问的控制组件。提供机器学习和推理来推断和自动化其方面。

7. 发明授权

US07848501B2 Storage abuse prevention 有权
标题翻译：存储滥用预防
公开(公告)号：US07848501B2
公开(公告)日：2010-12-07
申请号：US11042245
申请日：2005-01-25
申请人： Joshua T. Goodman , Carl M. Kadie , Christopher A. Meek
发明人： Joshua T. Goodman , Carl M. Kadie , Christopher A. Meek
IPC分类号： H04M3/42 , G06F15/16
CPC分类号： G06F21/606 , G06F21/316 , G06F21/552 , G06F2221/2135 , H04L51/00 , H04L63/1408
摘要： The subject invention provides a unique system and method that facilitates mitigation of storage abuse in connection with free storage provided by messaging service providers such as email, instant messaging, chat, blogging, and/or web hosting service providers. The system and method involve measuring the outbound volume of stored data. When the volume satisfies a threshold, a cost can be imposed on the account to mitigate the suspicious or abusive activity. Other factors can be considered as well that can modify the cost imposed on the cost such as by increasing the cost. Machine learning can be employed as well to predict a level or degree of suspicion. The various factors or the text of the messages can be used as input for the machine learning system.
摘要翻译：本发明提供了一种独特的系统和方法，其有助于缓解由诸如电子邮件，即时消息，聊天，博客和/或网络托管服务提供商之类的消息传递服务提供商提供的免费存储的存储滥用。系统和方法涉及测量存储数据的出站量。当卷满足阈值时，可以对该帐户施加成本以减轻可疑或滥用活动。也可以考虑其他因素，从而可以通过增加成本来改变对成本的成本。也可以使用机器学习来预测一定程度的怀疑。消息的各种因素或文本可以用作机器学习系统的输入。

8. 发明授权

US07739221B2 Visual and multi-dimensional search 失效
标题翻译：视觉和多维搜索
公开(公告)号：US07739221B2
公开(公告)日：2010-06-15
申请号：US11427303
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： G06F17/30864 , G06F17/30592 , Y10S707/913
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.
摘要翻译：一种能够基于从输入中提取的特征来建立搜索查询的分析多维输入的系统。在特定示例中，图像可以用作搜索机制的输入。模式识别和图像分析可以应用于图像，然后建立对应于从图像输入提取的特征的搜索查询。该系统还可以方便索引多维可搜索项目，从而使得它们可以作为结果被检索到搜索查询。更具体地，系统可以采用文本分析，模式和/或语音识别机制来从可搜索项目中提取特征。这些提取的特征可用于索引可搜索的项目。

9. 发明授权

US07693806B2 Classification using a cascade approach 失效
标题翻译：使用级联方法分类
公开(公告)号：US07693806B2
公开(公告)日：2010-04-06
申请号：US11766434
申请日：2007-06-21
申请人： Wen-tau Yih , Joshua T. Goodman , Geoffrey J. Hulten
发明人： Wen-tau Yih , Joshua T. Goodman , Geoffrey J. Hulten
IPC分类号： G06F15/18 , G06N3/08
CPC分类号： H04L51/12 , G06K9/6256 , G06Q10/06 , G06Q10/10
摘要： A system and method that facilitates and effectuates optimizing a classifier for greater performance in a specific region of classification that is of interest, such as a low false positive rate or a low false negative rate. A two-stage classification model can be trained and employed, where the first stage classification is optimized over the entire classification region and the second stage classifier is optimized for the specific region of interest. During training the entire set of training data is employed by a first stage classifier. Only data that is classified by the first stage classifier or by cross validation to fall within a region of interest is used to train the second stage classifier. During classification, data that is classified within the region of interest by the first classification is given the first stage classifier's classification value, otherwise the classification value for the instance of data from the second stage classifier is used.
摘要翻译：促进并实现分类器在特定感兴趣区域中的更高性能的系统和方法，例如低假阳性率或低假阴性率。可以训练和采用两阶段分类模型，其中对整个分类区域优化第一阶段分类，并针对特定的兴趣区域优化第二阶段分类器。在训练期间，整套训练数据由第一阶段分类器采用。仅使用由第一阶段分类器分类的数据或通过交叉验证落入感兴趣区域内的数据来训练第二阶段分类器。在分类期间，通过第一分类对分类在感兴趣区域内的数据给予第一阶段分类器的分类值，否则使用来自第二阶段分类器的数据实例的分类值。

10. 发明授权

US07665131B2 Origination/destination features and lists for spam prevention 有权
标题翻译：起始/目的地功能和垃圾邮件防范列表
公开(公告)号：US07665131B2
公开(公告)日：2010-02-16
申请号：US11621363
申请日：2007-01-09
申请人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
发明人： Joshua T. Goodman , Robert L. Rounthwaite , Daniel Gwozdz , John D. Mehr , Nathan D. Howell , Micah C. Rupersburg , Bryan T. Starbuck
IPC分类号： H04L29/06
CPC分类号： H04L51/12 , G06Q10/107
摘要： The present invention involves a system and method that facilitate extracting data from messages for spam filtering. The extracted data can be in the form of features, which can be employed in connection with machine learning systems to build improved filters. Data associated with origination information as well as other information embedded in the body of the message that allows a recipient of the message to contact and/or respond to the sender of the message can be extracted as features. The features, or a subset thereof, can be normalized and/or deobfuscated prior to being employed as features of the machine learning systems. The (deobfuscated) features can be employed to populate a plurality of feature lists that facilitate spam detection and prevention. Exemplary features include an email address, an IP address, a URL, an embedded image pointing to a URL, and/or portions thereof.
摘要翻译：本发明涉及一种便于从垃圾邮件过滤的消息中提取数据的系统和方法。提取的数据可以是特征的形式，其可以与机器学习系统结合使用以构建改进的过滤器。可以提取与发起信息相关联的数据以及嵌入在消息正文中的允许消息的接收者联系和/或响应消息的发送者的其他信息作为特征。特征或其子集可以在被用作机器学习系统的特征之前被归一化和/或去混淆。可以使用（去模糊化）功能来填充便于垃圾邮件检测和预防的多个特征列表。示例性特征包括电子邮件地址，IP地址，URL，指向URL的嵌入图像和/或其部分。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式