Obfuscation of spam filter
    61.
    发明授权
    Obfuscation of spam filter 失效
    垃圾邮件过滤器的混淆

    公开(公告)号:US07519668B2

    公开(公告)日:2009-04-14

    申请号:US10601034

    申请日:2003-06-20

    IPC分类号: G06F15/16

    CPC分类号: H04L51/12

    摘要: The subject invention provides systems and methods that facilitate obfuscating a spam filtering system to hinder reverse engineering of the spam filters and/or to mitigate spammers from finding a message that consistently gets through the spam filters almost every time. The system includes a randomization component that randomizes a message score before the message is classified as spam or non-spam so as to obscure the functionality of the spam filter. Randomizing the message score can be accomplished in part by adding a random number or pseudo-random number to the message score before it is classified as spam or non-spam. The number added thereto can vary depending on at least one of several types of input such as time, user, message content, hash of message content, and hash of particularly important features of the message, for example. Alternatively, multiple spam filters can be deployed rather than a single best spam filter.

    摘要翻译: 主题发明提供了系统和方法,其有助于混淆垃圾邮件过滤系统以阻止垃圾邮件过滤器的反向工程和/或减轻垃圾邮件发送者几乎每次都能始终获得通过垃圾邮件过滤器的消息。 该系统包括随机化组件,其在消息被分类为垃圾邮件或非垃圾邮件之前随机化消息得分,以掩盖垃圾邮件过滤器的功能。 随机化消息分数可以部分地通过在消息分数被分类为垃圾邮件或非垃圾邮件之前向消息得分添加随机数或伪随机数来完成。 附加的数量可以根据例如时间,用户,消息内容,消息内容的散列以及消息的特别重要的特征的散列中的至少一种输入而变化。 或者,可以部署多个垃圾邮件过滤器,而不是一个最好的垃圾邮件过滤器。

    MARK-UP ECOSYSTEM FOR SEARCHING
    62.
    发明申请
    MARK-UP ECOSYSTEM FOR SEARCHING 审中-公开
    标记生态系统搜索

    公开(公告)号:US20090006344A1

    公开(公告)日:2009-01-01

    申请号:US11770502

    申请日:2007-06-28

    IPC分类号: G06F7/00

    CPC分类号: G06F17/276 G06F16/90332

    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。

    SCALABLE SUMMARIES OF AUDIO OR VISUAL CONTENT
    63.
    发明申请
    SCALABLE SUMMARIES OF AUDIO OR VISUAL CONTENT 审中-公开
    音频或视觉内容的可比性概要

    公开(公告)号:US20080300872A1

    公开(公告)日:2008-12-04

    申请号:US11756059

    申请日:2007-05-31

    IPC分类号: G10L15/26

    摘要: Providing for browsing a summary of content formed of keywords that can scale to a user-defined level of detail is disclosed herein. Components of a system can include a summarization component that extracts keywords related to the content and associates the keywords with portions thereof, and a zooming component that displays a number of keywords based on a keyword/keyphrase relevance rank and a zoom factor. Additionally, a speech to text component can translate speech associated with the content into text, wherein the keywords are extracted from the translated text. Consequently, the claimed subject matter can present a variable hierarchy of keywords to form a scalable summary of such recorded content.

    摘要翻译: 本文公开了提供浏览由缩放到用户定义的细节级别的关键字形成的内容的摘要。 系统的组件可以包括摘要组件,其提取与内容相关的关键词并将关键字与其部分相关联,以及缩放组件,其基于关键字/关键短语相关性等级和缩放因子显示多个关键字。 此外,对文本组件的语音可以将与内容相关联的语音翻译为文本,其中从翻译的文本中提取关键字。 因此,所要求保护的主题可以呈现关键词的可变层级以形成这种记录内容的可伸缩摘要。

    CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS
    66.
    发明申请
    CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
    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

    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)。

    Auto playlist generator
    68.
    发明授权
    Auto playlist generator 有权
    自动播放列表生成器

    公开(公告)号:US07313571B1

    公开(公告)日:2007-12-25

    申请号:US11263347

    申请日:2005-10-31

    IPC分类号: G06F17/30 G03B19/18

    摘要: A system and method for generating a list is provided. The system includes a seed item input subsystem, an item identifying subsystem, a descriptive metadata similarity determining subsystem and a list generating subsystem that builds a list based, at least in part, on similarity processing performed on seed item descriptive metadata and user item descriptive metadata and user selected thresholds applied to such similarity processing. The method includes inexact matching between identifying metadata associated with new user items and identifying metadata stored in a reference metadata database. The method further includes subjecting candidate user items to similarity processing, where the degree to which the candidate user items are similar to the seed item is determined, and placing user items in a list of items based on user selected preferences for (dis)similarity between items in the list and the seed item.

    摘要翻译: 提供了一种用于生成列表的系统和方法。 系统包括种子项目输入子系统,项目识别子系统,描述性元数据相似性确定子系统和列表生成子系统,其至少部分地基于对种子项目描述性元数据和用户项目描述元数据执行的相似性处理来构建列表 并且将用户选择的阈值应用于这种相似性处理。 该方法包括识别与新用户项目相关联的元数据和识别存储在参考元数据数据库中的元数据之间的不准确匹配。 该方法还包括对候选用户项目进行相似性处理,其中确定候选用户项目类似于种子项目的程度,并且基于用户选择的偏好来将用户项目放置在项目列表中以用于(dis)相似性 列表中的项目和种子项目。