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    • 14. 发明申请
    • Propagating relevance from labeled documents to unlabeled documents
    • 从标签文档到未标记的文档传播相关性
    • US20070203940A1
    • 2007-08-30
    • US11364807
    • 2006-02-27
    • Jue WangMingjing LiWei-Ying MaZhiwei Li
    • Jue WangMingjing LiWei-Ying MaZhiwei Li
    • G06F17/00
    • G06F17/30864
    • A method and system for propagating the relevance of labeled documents to a query to unlabeled documents is provided. The propagation system provides training data that includes queries, documents labeled with their relevance to the queries, and unlabeled documents. The propagation system then calculates the similarity between pairs of documents in the training data. The propagation system then propagates the relevance of the labeled documents to similar, but unlabeled, documents. The propagation system may iteratively propagate labels of the documents until the labels converge on a solution. The training data with the propagated relevances can then be used to train a ranking function.
    • 提供了一种用于将标记的文档的相关性传播到未标记文档的查询的方法和系统。 传播系统提供包括查询,标记为与查询相关的文档以及未标记的文档的培训数据。 传播系统然后计算训练数据中文档对之间的相似度。 传播系统然后将标记的文档的相关性传播到类似但未标记的文档。 传播系统可以迭代地传播文档的标签,直到标签收敛在解决方案上。 然后可以使用具有传播相关性的训练数据来训练排序功能。
    • 15. 发明申请
    • Content Object Indexing Using Domain Knowledge
    • 使用域知识的内容对象索引
    • US20070162408A1
    • 2007-07-12
    • US11275509
    • 2006-01-11
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • G06N5/02
    • G06F17/30613
    • A content object indexing process including creating a content object knowledge index, calculating a description vector of a target content object, and indexing the target content object by searching for the description vector in the content object knowledge database. It may be difficult to search for an exact content object such as a music file or academic researcher as a conventional search index may not include related hierarchical information. A content object indexing process may add hierarchical information taken from a content object knowledge index and incorporate the hierarchical information to the index entry for a specific content object. An application of such a content object indexing process may be a world wide web search engine.
    • 内容对象索引处理包括创建内容对象知识索引,计算目标内容对象的描述向量,并通过搜索内容对象知识库中的描述向量来索引目标内容对象。 可能难以搜索诸如音乐文件或学术研究者的确切内容对象,因为传统的搜索索引可能不包括相关的分层信息。 内容对象索引处理可以添加从内容对象知识索引获取的分层信息,并且将分层信息并入特定内容对象的索引条目。 这样的内容对象索引处理的应用可以是万维网搜索引擎。
    • 19. 发明授权
    • Propagating relevance from labeled documents to unlabeled documents
    • 从标签文档到未标记的文档传播相关性
    • US08019763B2
    • 2011-09-13
    • US11364807
    • 2006-02-27
    • Jue WangMingjing LiWei-Ying MaZhiwei Li
    • Jue WangMingjing LiWei-Ying MaZhiwei Li
    • G07F17/30G07F7/00
    • G06F17/30864
    • A method and system for propagating the relevance of labeled documents to a query to unlabeled documents is provided. The propagation system provides training data that includes queries, documents labeled with their relevance to the queries, and unlabeled documents. The propagation system then calculates the similarity between pairs of documents in the training data. The propagation system then propagates the relevance of the labeled documents to similar, but unlabeled, documents. The propagation system may iteratively propagate labels of the documents until the labels converge on a solution. The training data with the propagated relevances can then be used to train a ranking function.
    • 提供了一种用于将标记的文档的相关性传播到未标记文档的查询的方法和系统。 传播系统提供包括查询,标记为与查询相关的文档以及未标记的文档的培训数据。 传播系统然后计算训练数据中文档对之间的相似度。 传播系统然后将标记的文档的相关性传播到类似但未标记的文档。 传播系统可以迭代地传播文档的标签,直到标签收敛在解决方案上。 然后可以使用具有传播相关性的训练数据来训练排序功能。
    • 20. 发明授权
    • Classification of images as advertisement images or non-advertisement images of web pages
    • 将图像分类为网页的广告图像或非广告图像
    • US07840502B2
    • 2010-11-23
    • US11762553
    • 2007-06-13
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06F15/18
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。