Dynamic personal homepage: tracing web block
    22.
    发明申请
    Dynamic personal homepage: tracing web block 有权
    动态个人主页:跟踪网页块

    公开(公告)号:US20060271834A1

    公开(公告)日:2006-11-30

    申请号:US11136029

    申请日:2005-05-24

    IPC分类号: G06F17/00

    CPC分类号: G06F17/3089

    摘要: The invention provides a method of creating a personal home page containing information of interest assembled from various web sites. The method includes the partitioning of web pages into web blocks. Users may collect various web blocks from different web pages and utilize those web blocks to define the dynamic personal homepage. In addition, the web blocks may be tracked to update content in the personal home page based on corresponding changes in the original web page.

    摘要翻译: 本发明提供了一种创建包含从各种网站组装的感兴趣的信息的个人主页的方法。 该方法包括将网页划分成网页块。 用户可以从不同的网页收集各种网页块,并利用这些网页块定义动态个人主页。 此外,可以基于原始网页中的相应变化来跟踪网页块以更新个人主页中的内容。

    Evaluating and generating summaries using normalized probabilities
    23.
    发明授权
    Evaluating and generating summaries using normalized probabilities 有权
    使用归一化概率评估和生成摘要

    公开(公告)号:US07565372B2

    公开(公告)日:2009-07-21

    申请号:US11225861

    申请日:2005-09-13

    IPC分类号: G06F17/00

    摘要: A summary system for evaluating summaries of documents and for generating summaries of documents based on normalized probabilities of portions of the document. A summarization system generates a summary by selecting sentences for the summary based on their normalized probabilities as derived from a document model. An evaluation system evaluates the effectiveness of a summary based on a normalized probability for the summary that is derived from a document model.

    摘要翻译: 基于文件部分的归一化概率来评估文件摘要和文档摘要的汇总系统。 摘要系统通过从文档模型导出的归一化概率选择摘要的句子来生成摘要。 评估系统基于从文档模型导出的摘要的归一化概率来评估摘要的有效性。

    Identification of topics for online discussions based on language patterns
    24.
    发明授权
    Identification of topics for online discussions based on language patterns 有权
    基于语言模式识别在线讨论的主题

    公开(公告)号:US07739261B2

    公开(公告)日:2010-06-15

    申请号:US11763282

    申请日:2007-06-14

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30731 G06Q30/02

    摘要: A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.

    摘要翻译: 主题识别系统通过迭代地识别在线讨论的主题或关键字并识别与这些关键字相关联的语言模式来识别在线讨论的主题。 主题识别系统以一组初始关键字开始,并识别每个关键字的语言模式。 然后,主题识别系统使用所识别的语言模式来识别与模式匹配的在线讨论的附加关键字。 然后,主题识别系统再次使用包括新确定的关键字的关键字来识别语言模式。 主题识别系统可以重复识别语言模式和关键字的过程,直到满足终止标准。

    ADVERTISEMENT APPROVAL BASED ON TRAINING DATA
    25.
    发明申请
    ADVERTISEMENT APPROVAL BASED ON TRAINING DATA 审中-公开
    基于培训数据的广告批准

    公开(公告)号:US20080300971A1

    公开(公告)日:2008-12-04

    申请号:US11755523

    申请日:2007-05-30

    IPC分类号: G06Q30/00

    摘要: A system for determining whether to approve a target document (e.g., advertisement) is provided. The system trains a classifier using tuples of words from appropriate documents and tuples of words from inappropriate documents. To approve a target document, the system identifies tuples of words of the target document. The system then applies the classifier to the identified tuples to classify the document as being appropriate or inappropriate. If the document is classified as appropriate, the system automatically approves the document.

    摘要翻译: 提供用于确定是否批准目标文档(例如,广告)的系统。 系统使用适当文件的单词组和不适当文件的单词元组来训练分类器。 要批准目标文档,系统会标识目标文档的单词元组。 然后,系统将分类器应用于所识别的元组,以将文档分类为合适或不合适。 如果文档被分类为适当的,系统将自动批准文档。

    IDENTIFICATION OF TOPICS FOR ONLINE DISCUSSIONS BASED ON LANGUAGE PATTERNS
    26.
    发明申请
    IDENTIFICATION OF TOPICS FOR ONLINE DISCUSSIONS BASED ON LANGUAGE PATTERNS 有权
    基于语言模式的在线讨论主题的识别

    公开(公告)号:US20080313180A1

    公开(公告)日:2008-12-18

    申请号:US11763282

    申请日:2007-06-14

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30731 G06Q30/02

    摘要: A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.

    摘要翻译: 主题识别系统通过迭代地识别在线讨论的主题或关键字并识别与这些关键字相关联的语言模式来识别在线讨论的主题。 主题识别系统以一组初始关键字开始,并识别每个关键字的语言模式。 然后,主题识别系统使用所识别的语言模式来识别与模式匹配的在线讨论的附加关键字。 然后,主题识别系统再次使用包括新确定的关键字的关键字来识别语言模式。 主题识别系统可以重复识别语言模式和关键字的过程,直到满足终止标准。

    Keyword usage score based on frequency impulse and frequency weight
    27.
    发明授权
    Keyword usage score based on frequency impulse and frequency weight 失效
    基于频率冲击和频率权重的关键词使用得分

    公开(公告)号:US07644075B2

    公开(公告)日:2010-01-05

    申请号:US11756740

    申请日:2007-06-01

    IPC分类号: G06F17/30

    摘要: A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.

    摘要翻译: 提供了一种基于各种期间关键词使用频率来评估关键字使用的方法和系统。 关键字使用测量系统在不同时期提供关键字的频率。 然后,测量系统通过将关键字的频率脉冲得分与该关键字的频率权重组合来计算关键字的最近使用分数。 关键字的频率脉冲得分指示是否发生了关键字的频率的最近的改变。 关键字的频率权重表示最近对关键字频率的度量。

    KEYWORD USAGE SCORE BASED ON FREQUENCY IMPULSE AND FREQUENCY WEIGHT
    28.
    发明申请
    KEYWORD USAGE SCORE BASED ON FREQUENCY IMPULSE AND FREQUENCY WEIGHT 失效
    基于频率和频率的关键字使用分数

    公开(公告)号:US20080301117A1

    公开(公告)日:2008-12-04

    申请号:US11756740

    申请日:2007-06-01

    IPC分类号: G06F7/76 G06F17/30

    摘要: A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.

    摘要翻译: 提供了一种基于各种期间关键词使用频率来评估关键字使用的方法和系统。 关键字使用测量系统在不同时期提供关键字的频率。 然后,测量系统通过将关键字的频率脉冲得分与该关键字的频率权重组合来计算关键字的最近使用分数。 关键字的频率脉冲得分指示是否发生了关键字的频率的最近的改变。 关键字的频率权重表示最近对关键字频率的度量。

    Method and system for prioritizing communications based on sentence classifications
    30.
    发明授权
    Method and system for prioritizing communications based on sentence classifications 有权
    基于句子分类优先通信的方法和系统

    公开(公告)号:US08112268B2

    公开(公告)日:2012-02-07

    申请号:US12254796

    申请日:2008-10-20

    IPC分类号: G06F17/28

    CPC分类号: G06F17/30

    摘要: A method and system for prioritizing communications based on classifications of sentences within the communications is provided. A sentence classification system may classify sentences of communications according to various classifications such as “sentence mode.” The sentence classification system trains a sentence classifier using training data and then classifies sentences using the trained sentence classifier. After the sentences of a communication are classified, a document ranking system may generate a rank for the communication based on the classifications of the sentences within the communication. The document ranking system trains a document rank classifier using training data and then calculates the rank of communications using the trained document rank classifier.

    摘要翻译: 提供了一种基于通信内的句子分类来优先化通信的方法和系统。 句子分类系统可以根据诸如“句子模式”的各种分类对通信句进行分类。句子分类系统使用训练数据训练句子分类器,然后使用训练句子分类器对句子进行分类。 在对通信的句子进行分类之后,文档排序系统可以基于通信中的句子的分类来生成用于通信的等级。 文档排序系统使用训练数据训练文档排序分类器,然后使用经过训练的文档排序分类器来计算通信的等级。