会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 6. 发明授权
    • Method and system for classifying and identifying messages as question or not a question within a discussion thread
    • 用于将消息分类和识别为问题的方法和系统,或不是讨论线程中的问题
    • US07590603B2
    • 2009-09-15
    • US10957329
    • 2004-10-01
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • G06F15/18
    • G06F17/30707
    • A method and system for classifying messages of a discussion thread as questions is provided. A classification system generates a classifier to classify messages of discussion threads as question messages or non-question messages. The system trains the classifier using the feature vectors and input classifications derived from a training set of discussion threads. After the classifier is trained, the classification system uses the classifier to classify messages within a corpus of discussion threads as question or non-question messages. To classify a message, the classification system generates a feature vector for the messages and submits that feature vector to the classifier. The classifier generates a score for the message indicating a likelihood that the message is a question message.
    • 提供了一种用于将讨论线程的消息分类为问题的方法和系统。 分类系统生成分类器以将讨论线程的消息分类为问题消息或非问题消息。 系统使用从训练集讨论线程派生的特征向量和输入分类来训练分类器。 在分类器训练之后,分类系统使用分类器将讨论线程的语料库中的消息分类为问题或非问题消息。 为了对消息进行分类,分类系统生成消息的特征向量,并将该特征向量提交给分类器。 分类器生成消息的分数,指示消息是问题消息的可能性。
    • 9. 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。
    • 10. 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。