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    • 1. 发明申请
    • Context-Sensitive Searches and Functionality for Instant Messaging Applications
    • 即时消息应用程序的上下文敏感搜索和功能
    • US20080201434A1
    • 2008-08-21
    • US11675787
    • 2007-02-16
    • John S. HolmesHeather FergusonAdam C. CzeislerJoshua T. Goodman
    • John S. HolmesHeather FergusonAdam C. CzeislerJoshua T. Goodman
    • G06F15/16
    • H04L51/04G06F16/951G06Q10/10
    • In one or more embodiments, in the context of an instant messaging application, a conversation is analyzed and contextually or textually relevant keywords and/or phrases are identified. These keywords or phrases are then highlighted in a visually-identifiable manner for selection by an individual participating in the conversation. Once selected by an individual, a user interface is presented and exposes the individual or individuals in the conversation to various contextually- or textually-relevant material or functionality that pertains to the selected word or phrase. In one or more embodiments, an individual can also manually select a word or phrase to access the user interface that exposes contextually or textually-relevant material or functionality. In the various embodiments described below, at least some of this relevant material or functionality is presented to the user in the context of the instant messaging application and in a manner in which it can be consumed by the individual within the instant messaging application itself.
    • 在一个或多个实施例中,在即时消息收发应用的上下文中,分析对话并识别上下文或文本相关的关键字和/或短语。 这些关键字或短语然后以视觉上可识别的方式突出显示,以供参与对话的个人选择。 一旦被个人选择,就呈现用户界面,并将会话中的个人或个人公开到与所选择的单词或短语相关的各种与内容或文本相关的材料或功能。 在一个或多个实施例中,个人还可以手动地选择单词或短语来访问暴露内容或文本相关材料或功能的用户界面。 在下面描述的各种实施例中,在即时消息收发应用的上下文中以这种方式可以将该相关材料或功能中的至少一些呈现给用户,并且其方式可以由即时消息收发应用本身内的个人消费。
    • 4. 发明授权
    • Storage abuse prevention
    • 存储滥用预防
    • US07848501B2
    • 2010-12-07
    • US11042245
    • 2005-01-25
    • Joshua T. GoodmanCarl M. KadieChristopher A. Meek
    • Joshua T. GoodmanCarl M. KadieChristopher A. Meek
    • H04M3/42G06F15/16
    • G06F21/606G06F21/316G06F21/552G06F2221/2135H04L51/00H04L63/1408
    • 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.
    • 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。
    • 6. 发明授权
    • Classification using a cascade approach
    • 使用级联方法分类
    • US07693806B2
    • 2010-04-06
    • US11766434
    • 2007-06-21
    • Wen-tau YihJoshua T. GoodmanGeoffrey J. Hulten
    • Wen-tau YihJoshua T. GoodmanGeoffrey J. Hulten
    • G06F15/18G06N3/08
    • H04L51/12G06K9/6256G06Q10/06G06Q10/10
    • 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.
    • 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。