Technologies for encouraging search engine switching based on behavior patterns
    3.
    发明授权
    Technologies for encouraging search engine switching based on behavior patterns 有权
    基于行为模式鼓励搜索引擎切换的技术

    公开(公告)号:US09031885B2

    公开(公告)日:2015-05-12

    申请号:US13465934

    申请日:2012-05-07

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    Dynamic search interaction
    4.
    发明授权
    Dynamic search interaction 有权
    动态搜索交互

    公开(公告)号:US08880548B2

    公开(公告)日:2014-11-04

    申请号:US12706719

    申请日:2010-02-17

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864 G06F17/3064

    摘要: This patent application pertains to dynamic search interaction. One example includes an organizational component configured to obtain a search query from a user. The organizational component can also be configured to obtain related search queries. The organizational component can further be configured to organize the related search queries by topic and to estimate a relative likelihood that an intent of the user matches an individual topic. This example also includes an image generation component configured to cause the organized related search queries to be presented on a graphical user interface (GUI) in a manner that reflects the relative likelihood.

    摘要翻译: 该专利申请涉及动态搜索交互。 一个示例包括被配置为从用户获取搜索查询的组织组件。 组织组件也可以配置为获取相关的搜索查询。 组织组件可以被进一步配置成通过主题来组织相关的搜索查询,并且估计用户的意图与单个主题匹配的相对可能性。 该示例还包括图像生成组件,其被配置为使得组织的相关搜索查询以反映相对似然性的方式呈现在图形用户界面(GUI)上。

    Order-based human interactive proofs (HIPs) and automatic difficulty rating of HIPs

    公开(公告)号:US08391771B2

    公开(公告)日:2013-03-05

    申请号:US11759464

    申请日:2007-06-07

    IPC分类号: G09B3/00

    CPC分类号: G06Q30/02

    摘要: The present invention involves a system and method that facilitate identifying human interaction by utilizing HIPs such as order-based HIPs and determining a difficulty rating of any type of HIPs in an automated fashion. Order-based HIPs require a user to identify elements in the sequence as well as to identify a correct order of the elements in the sequence. The invention involves presenting a user with at least two HIPs such that the HIP can be of known and/or unknown difficulty. A user that correctly answers the HIP of known difficulty gains access to the HIP-controlled resource, action or application. The user's response to the HIP of unknown difficulty can then be examined and employed to determine whether that HIP is too difficult for humans to solve. Alternatively, at least one HIP can be presented. Difficulty of individual HIP parameters can also be determined.

    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR
    6.
    发明申请
    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US20110238648A1

    公开(公告)日:2011-09-29

    申请号:US13154025

    申请日:2011-06-06

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    Using message features and sender identity for email spam filtering
    8.
    发明授权
    Using message features and sender identity for email spam filtering 失效
    使用邮件功能和发件人身份进行电子邮件垃圾邮件过滤

    公开(公告)号:US07899866B1

    公开(公告)日:2011-03-01

    申请号:US11027895

    申请日:2004-12-31

    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。

    Advanced URL and IP features
    10.
    发明授权
    Advanced URL and IP features 有权
    高级URL和IP功能

    公开(公告)号:US07409708B2

    公开(公告)日:2008-08-05

    申请号:US10856978

    申请日:2004-05-28

    IPC分类号: H04L29/00

    CPC分类号: H04L51/12 G06Q10/107

    摘要: Disclosed are systems and methods that facilitate spam detection and prevention at least in part by building or training filters using advanced IP address and/or URL features in connection with machine learning techniques. A variety of advanced IP address related features can be generated from performing a reverse IP lookup. Similarly, many different advanced URL based features can be created from analyzing at least a portion of any one URL detected in a message.

    摘要翻译: 公开了至少部分地通过使用与机器学习技术相关联的高级IP地址和/或URL特征来构建或训练过滤器来促进垃圾邮件检测和预防的系统和方法。 可以通过执行反向IP查找来生成各种高级IP地址相关功能。 类似地,可以通过分析消息中检测到的任何一个URL的至少一部分来创建许多不同的基于高级URL的特征。