专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20100169243A1 METHOD AND SYSTEM FOR HYBRID TEXT CLASSIFICATION 审中-公开
标题翻译：混合文本分类方法与系统
公开(公告)号：US20100169243A1
公开(公告)日：2010-07-01
申请号：US12344480
申请日：2008-12-27
申请人： Jiang Su , Keith Bates , Biao Wang , Bo Xu
发明人： Jiang Su , Keith Bates , Biao Wang , Bo Xu
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06N20/00 , G06F16/355
摘要： A computer-implemented system and method for text classification is provided that applies a hybrid approach for text classification. The system and method includes a text pre-processor which prepares unclassified articles in a format which can be read by a two-stage classifier. The classifier employs a hybrid approach. A keyword-based model achieves machine-labelling of the articles. The machine-labelled articles are used to train a machine learning model. New articles can be applied against the trained model, and classified.
摘要翻译：提供了一种用于文本分类的计算机实现的系统和方法，其应用用于文本分类的混合方法。该系统和方法包括文本预处理器，其以可由两级分类器读取的格式来准备未分类的文章。分类器采用混合方法。基于关键字的模型实现了文章的机器标签。机器标签的文章用于训练机器学习模型。新的文章可以应用于训练有素的模型，并进行分类。

2. 发明申请

US20110010307A1 METHOD AND SYSTEM FOR RECOMMENDING ARTICLES AND PRODUCTS 审中-公开
标题翻译：推荐文章和产品的方法和系统
公开(公告)号：US20110010307A1
公开(公告)日：2011-01-13
申请号：US12698087
申请日：2010-02-01
申请人： Keith M. Bates , Julian Paas , Jiang Su , Biao Wang , Bo Xu , Pendar Yousefi
发明人： Keith M. Bates , Julian Paas , Jiang Su , Biao Wang , Bo Xu , Pendar Yousefi
IPC分类号： G06Q99/00 , G06Q30/00 , G06N5/02
CPC分类号： G06Q30/02 , G06Q30/0282 , G06Q30/0631
摘要： In a data processing system, a method of recommending articles and products to a user is disclosed. The method creates a frequency vector in relation to the content of an article, frequency vectors in relation each of one or more products from intermediate data. The method compares the vectors to determine a content similarity measure, and provides as output a list of one or more products having the highest content similarity measures. The method may also determine a correlation measure. An electronic data processing system for recommending articles and products to a user is also disclosed. The system includes modules to receive article information and product information, a correlation module to determine a content similarity measure between the article and each of the products and, a multiplexer module for providing a list comprising the article and the products associated having the highest content similarity measure.
摘要翻译：在数据处理系统中，公开了向用户推荐文章和产品的方法。该方法相对于物品的内容产生一个频率矢量，其中关于来自中间数据的一个或多个产品中的每一个的频率矢量。该方法比较向量以确定内容相似性度量，并且作为输出提供具有最高内容相似性度量的一个或多个产品的列表。该方法还可以确定相关度量。还公开了一种用于向用户推荐物品和产品的电子数据处理系统。该系统包括用于接收物品信息和产品信息的模块，用于确定物品和每个产品之间的内容相似性度量的相关模块，以及用于提供包括物品的列表和相关联的具有最高内容相似性的产品的多路复用器模块测量。

3. 发明申请

US20100185568A1 Method and System for Document Classification 审中-公开
标题翻译：文件分类方法和系统
公开(公告)号：US20100185568A1
公开(公告)日：2010-07-22
申请号：US12355945
申请日：2009-01-19
申请人： Keith M. Bates , Jiang Su , Bo Xu , Biao Wang
发明人： Keith M. Bates , Jiang Su , Bo Xu , Biao Wang
IPC分类号： G06F15/18 , G06F17/30 , G06N5/02
CPC分类号： G06N20/00
摘要： A system and method to classify web-based documents as articles or non-articles is disclosed. The method generates a machine learning model from a human labelled training set which contains articles and non-articles. The machine learning model is applied to new articles to label them as articles or non-articles. The method generates the machine learning model based on content, such as text and tags of the web-based documents. The invention also provides for devices which incorporate the machine learning model, allowing such devices to classify documents as articles or non-articles.
摘要翻译：公开了将基于网络的文档分类为文章或非文章的系统和方法。该方法从包含文章和非文章的人类标记训练集中生成机器学习模型。机器学习模型适用于新的文章，将其标注为文章或非文章。该方法基于内容（如基于Web的文档的文本和标签）生成机器学习模型。本发明还提供了结合机器学习模型的设备，允许这样的设备将文档分类为文章或非文章。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式