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    • 3. 发明授权
    • Method and system for prioritizing communications based on sentence classifications
    • 基于句子分类优先通信的方法和系统
    • US08112268B2
    • 2012-02-07
    • US12254796
    • 2008-10-20
    • Zheng ChenWei-Ying MaHua-Jun ZengBenyu Zhang
    • Zheng ChenWei-Ying MaHua-Jun ZengBenyu Zhang
    • G06F17/28
    • G06F17/30
    • 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.
    • 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。
    • 4. 发明授权
    • Method and system for ranking documents of a search result to improve diversity and information richness
    • 搜索结果排序文件的方法和系统,以提高多样性和信息丰富度
    • US07664735B2
    • 2010-02-16
    • US10837540
    • 2004-04-30
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • G06F17/00
    • G06F17/30867Y10S707/99933
    • A method and system for ranking documents of search results based on information richness and diversity of topics. A ranking system determines the information richness of each document within a search result. The ranking system groups documents of a search result based on their relatedness, meaning that they are directed to similar topics. The ranking system ranks the documents to ensure that the highest ranking documents may include at least one document covering each topic, that is, one document from each of the groups. The ranking system selects the document from each group that has the highest information richness of the documents within the group. When the documents are presented to a user in rank order, the user will likely find on the first page of the search result documents that cover a variety of topics, rather than just a single popular topic.
    • 基于信息丰富性和主题多样性对搜索结果文档进行排序的方法和系统。 排名系统确定搜索结果内每个文档的信息丰富度。 排名系统根据其相关性对搜索结果的文档进行分组,这意味着它们针对类似的主题。 排名系统排列文件,以确保最高排名的文档可能包含至少一个涵盖每个主题的文档,即每个组中的一个文档。 排名系统选择组内文件信息丰富度最高的组中的文档。 当文件以等级顺序呈现给用户时,用户可能会在搜索结果文档的第一页上找到涵盖各种主题的文档,而不仅仅是一个流行的主题。
    • 8. 发明授权
    • Implicit links search enhancement system and method for search engines using implicit links generated by mining user access patterns
    • 使用由采矿用户访问模式生成的隐式链接的搜索引擎的隐式链接搜索增强系统和方法
    • US07584181B2
    • 2009-09-01
    • US10676794
    • 2003-09-30
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • G06F7/00G06F17/30
    • G06F17/30867Y10S707/99935Y10S707/99937
    • An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.
    • 一种用于搜索引擎的隐式链接增强系统和方法,用于生成从挖掘用户访问日志中获取的隐含链接,以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法包括通过挖掘用户访问模式提取隐含链接,然后使用修改的链接分析算法对从传统搜索引擎获取的搜索结果进行重新排序。 更具体地,隐式链接搜索增强方法包括从用户访问日志提取隐含链接,从提取的隐式链接生成隐式链接图,以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图,修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析,从搜索引擎获得的搜索结果被重新排序。
    • 9. 发明授权
    • Method and system for classifying display pages using summaries
    • 使用汇总分类显示页面的方法和系统
    • US07392474B2
    • 2008-06-24
    • US10836319
    • 2004-04-30
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • Zheng ChenDou ShenBenyu ZhangHua-Jun ZengWei-Ying Ma
    • G06F17/00
    • G06F17/30719G06F17/30864
    • A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
    • 一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。 网页分类系统使用网页摘要系统来生成网页摘要。 网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。 总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。 一旦生成摘要,分类系统可以将常规分类技术应用于摘要以对网页进行分类。 分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。