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    • 4. 发明授权
    • System and method for analyzing communications of user messages to rank users and contacts based on message content
    • 用于分析用户消息的通信以基于消息内容对用户和联系人排序的系统和方法
    • US06832245B1
    • 2004-12-14
    • US09726912
    • 2000-11-30
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • G06F1516
    • H04L51/22G06F17/3053G06F17/30572G06F17/30595G06F17/30876G06Q10/107H04L51/26
    • The invention provides a system and method for analyzing a collection of communication messages. The communication messages may be any one of a collection of electronic mail messages, voicemail messages, instant messaging dialogues and other forms of communications. The collections of communications, such as electronic mail messages, may be selected by a user and then subsequently processed to determine the identity of any of the user's contacts within the communications. The contacts may then be arranged in a relative priority arrangement whereby contacts which have been identified as engaging in prior reciprocal communications with the user are given higher priority. Higher priority may also be given to contacts which engage in more recent communications with the user. Specific contact relationships may be inferred from the communications depending on whether specific contacts are repeatedly mentioned within the communication messages.
    • 本发明提供了一种用于分析通信消息集合的系统和方法。 通信消息可以是电子邮件消息,语音邮件消息,即时消息对话和其他通信形式的集合中的任何一个。 诸如电子邮件消息的通信集合可以由用户选择,然后随后被处理以确定通信中任何用户的联系人的身份。 然后可以以相对优先的布置布置接触件,由此已经被识别为与用户进行先前的相互通信的接触被给予较高的优先级。 也可以优先考虑与用户进行最新通信的联系人。 取决于在通信消息内是否重复提及具体的联系人,可以从通信推断具体的联系关系。
    • 5. 发明授权
    • System and method for analyzing communications
    • 用于分析通信的系统和方法
    • US07454470B1
    • 2008-11-18
    • US10979960
    • 2004-11-03
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • G06F15/16
    • H04L51/22G06F17/3053G06F17/30572G06F17/30595G06F17/30876G06Q10/107H04L51/26
    • The invention provides a system and method for analyzing a collection of communication messages. The communication messages may be any one of a collection of electronic mail messages, voicemail messages, instant messaging dialogues and other forms of communications. The collections of communications, such as electronic mail messages, may be selected by a user and then subsequently processed to determine the identity of any of the user's contacts within the communications. The contacts may then be arranged in a relative priority arrangement whereby contacts which have been identified as engaging in prior reciprocal communications with the user are given higher priority. Higher priority may also be given to contacts which engage in more recent communications with the user. Specific contact relationships may be inferred from the communications depending on whether specific contacts are repeatedly mentioned within the communication messages.
    • 本发明提供了一种用于分析通信消息集合的系统和方法。 通信消息可以是电子邮件消息,语音邮件消息,即时消息对话和其他通信形式的集合中的任何一个。 诸如电子邮件消息的通信集合可以由用户选择,然后随后被处理以确定通信中任何用户的联系人的身份。 然后可以以相对优先的布置布置接触件,由此已经被识别为与用户进行先前的相互通信的接触被给予较高的优先级。 也可以优先考虑与用户进行最新通信的联系人。 取决于在通信消息内是否重复提及具体的联系人,可以从通信推断具体的联系关系。
    • 6. 发明授权
    • System and method for analyzing communications
    • 用于分析通信的系统和方法
    • US09185067B1
    • 2015-11-10
    • US12290827
    • 2008-11-04
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • Ellen IsaacsBonnie A. NardiStephen Whittaker
    • H04L12/58
    • H04L51/22G06F17/3053G06F17/30572G06F17/30595G06F17/30876G06Q10/107H04L51/26
    • The invention provides a system and method for analyzing a collection of communication messages. The communication messages may be any one of a collection of electronic mail messages, voicemail messages, instant messaging dialogs and other forms of communications. The collections of communications, such as electronic mail messages, may be selected by a user and then subsequently processed to determine the identity of any of the user's contacts within the communications. The contacts may then be arranged in a relative priority arrangement whereby contacts which have been identified as engaging in prior reciprocal communications with the user are given higher priority. Higher priority may also be given to contacts which engage in more recent communications with the user. Specific contact relationships may be inferred from the communications depending on whether specific contacts are repeatedly mentioned within the communication messages.
    • 本发明提供了一种用于分析通信消息集合的系统和方法。 通信消息可以是电子邮件消息,语音邮件消息,即时消息对话和其他通信形式的集合中的任何一个。 诸如电子邮件消息的通信集合可以由用户选择,然后随后被处理以确定通信中任何用户的联系人的身份。 然后可以以相对优先的布置布置接触件,由此已经被识别为与用户进行先前的相互通信的接触被给予较高的优先级。 也可以优先考虑与用户进行最新通信的联系人。 取决于在通信消息内是否重复提及具体的联系人,可以从通信推断具体的联系关系。
    • 7. 发明授权
    • System and method for creating pattern-recognizing computer structures
from example text
    • 从示例文本创建模式识别计算机结构的系统和方法
    • US5864789A
    • 1999-01-26
    • US669642
    • 1996-06-24
    • Henry A. LiebermanBonnie A. NardiDavid J. Wright
    • Henry A. LiebermanBonnie A. NardiDavid J. Wright
    • G06F17/24G06F17/27G06F17/28G06F17/30
    • G06F17/27G06F17/24G06F17/2775Y10S707/99936
    • A system comprises a structure editor, a structure library, an extractor and a user interface, which are stored in computer memory and create structures for recognizing patterns in computer text. The structure editor via the user interface enables a user to input a text string called a model pattern, and uses previously-created structures such as lexical category structures for parsing the model pattern into default definition items. Each default definition item includes attributes specifying the patterns recognizable by the definition item and relationships with other definition items. The structure editor enables and facilitates user modification of the default definition items by generating attribute choices for user selection and allowing a user to generate a new structure if none of the choices is adequate. The resulting definition items form a new definition of a new structure, which is stored in the structure library. The extractor locates a pattern in computer text by satisfying the conditions of a definition of a new structure.
    • 系统包括存储在计算机存储器中的结构编辑器,结构库,提取器和用户界面,并且创建用于识别计算机文本中的模式的结构。 通过用户界面的结构编辑器使用户能够输入一个称为模型模式的文本字符串,并使用先前创建的结构,例如词法类别结构,将模型模式解析为默认定义项。 每个默认定义项包括指定定义项可识别的模式和与其他定义项的关系的属性。 结构编辑器通过为用户选择生成属性选择,并且允许用户在没有选择足够的情况下生成新的结构来启用和促进用户对默认定义项的修改。 结果定义项形成新结构的新定义,存储在结构库中。 提取器通过满足新结构的定义的条件来定位计算机文本中的模式。