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    • 82. 发明申请
    • HYBRID LOCATION AND KEYWORD INDEX
    • 混合位置和关键字索引
    • US20090019066A1
    • 2009-01-15
    • US12234563
    • 2008-09-19
    • Chuang WangWei-Ying MaXing XieYinghua Zhou
    • Chuang WangWei-Ying MaXing XieYinghua Zhou
    • G06F17/00G06F17/30
    • G06F17/30616G06F17/3087Y10S707/99931Y10S707/99933Y10S707/99945
    • A method and system for generating a hybrid index for indexing objects based on location and keyword attributes and performing location-based searching is provided. A search system performs a location-based search using a hybrid index that indexes both location and keyword attributes of objects. The search system generates the hybrid index either using the location attribute as the primary index or the keyword attribute as the primary index. When the location attribute is the primary index, the keyword attribute is the secondary index, and vice versa. To generate the hybrid index, the search system identifies the values for the keyword and location attributes of each object. The search system generates the primary index to map each value of a first attribute to a secondary index. The search system thus generates, for each value of the first attribute, a secondary index to map values of a second attribute to objects that have the associated values of the first and second attributes. The search system then uses the hybrid index to perform location-based searching.
    • 提供了一种用于基于位置和关键字属性生成用于索引对象的混合索引并执行基于位置的搜索的方法和系统。 搜索系统使用索引对象的位置和关键字属性的混合索引来执行基于位置的搜索。 搜索系统使用location属性作为主索引或keyword属性作为主索引来生成混合索引。 当location属性是主索引时,关键字属性是辅助索引,反之亦然。 为了生成混合索引,搜索系统识别每个对象的关键字和位置属性的值。 搜索系统生成主索引以将第一个属性的每个值映射到次要索引。 因此,搜索系统为第一属性的每个值生成辅助索引,以将第二属性的值映射到具有第一和第二属性的相关联值的对象。 然后,搜索系统使用混合索引来执行基于位置的搜索。
    • 83. 发明申请
    • MINING GEOGRAPHIC KNOWLEDGE USING A LOCATION AWARE TOPIC MODEL
    • 采用地理位置主题模型挖掘地理知识
    • US20080319974A1
    • 2008-12-25
    • US11766716
    • 2007-06-21
    • Wei-Ying MaChong WangJinggang WangXing Xie
    • Wei-Ying MaChong WangJinggang WangXing Xie
    • G06F17/30
    • G06F17/30241
    • Mining geographic knowledge using a location aware topic model is provided. A location system estimates topics and locations associated with documents based on a location aware topic (“LAT”) model. The location system generates the model from a collection of documents that are labeled with their associated locations. The location system generates collection level parameters based on an LDA-style model. To generate the collection level parameters, the location system estimates probabilities of latent topics, locations, and words of the collection. After the model is generated, the location system uses the collection level parameters to estimate probabilities of topics and locations being associated with target documents.
    • 提供使用位置感知主题模型挖掘地理知识。 位置系统基于位置感知主题(“LAT”)模型估计与文档相关联的主题和位置。 位置系统从标有其关联位置的文档集合生成模型。 位置系统基于LDA样式模型生成收集级别参数。 为了生成收集级参数,定位系统估计集合的潜在主题,位置和单词的概率。 在模型生成之后,位置系统使用集合级参数来估计与目标文档相关联的主题和位置的概率。
    • 84. 发明授权
    • Hybrid location and keyword index
    • 混合位置和关键字索引
    • US07444343B2
    • 2008-10-28
    • US11278301
    • 2006-03-31
    • Chuang WangWei-Ying MaXing XieYinghua Zhou
    • Chuang WangWei-Ying MaXing XieYinghua Zhou
    • G06F17/00G06F17/30
    • G06F17/30616G06F17/3087Y10S707/99931Y10S707/99933Y10S707/99945
    • A method and system for generating a hybrid index for indexing objects based on location and keyword attributes and performing location-based searching is provided. A search system performs a location-based search using a hybrid index that indexes both location and keyword attributes of objects. The search system generates the hybrid index either using the location attribute as the primary index or the keyword attribute as the primary index. When the location attribute is the primary index, the keyword attribute is the secondary index, and vice versa. To generate the hybrid index, the search system identifies the values for the keyword and location attributes of each object. The search system generates the primary index to map each value of a first attribute to a secondary index. The search system thus generates, for each value of the first attribute, a secondary index to map values of a second attribute to objects that have the associated values of the first and second attributes. The search system then uses the hybrid index to perform location-based searching.
    • 提供了一种用于基于位置和关键字属性生成用于索引对象的混合索引并执行基于位置的搜索的方法和系统。 搜索系统使用索引对象的位置和关键字属性的混合索引来执行基于位置的搜索。 搜索系统使用location属性作为主索引或keyword属性作为主索引来生成混合索引。 当location属性是主索引时,关键字属性是辅助索引,反之亦然。 为了生成混合索引,搜索系统识别每个对象的关键字和位置属性的值。 搜索系统生成主索引以将第一个属性的每个值映射到次要索引。 因此,搜索系统为第一属性的每个值生成辅助索引,以将第二属性的值映射到具有第一和第二属性的相关联值的对象。 然后,搜索系统使用混合索引来执行基于位置的搜索。
    • 89. 发明授权
    • Method and system for identifying image relatedness using link and page layout analysis
    • 使用链接和页面布局分析识别图像相关性的方法和系统
    • US07293007B2
    • 2007-11-06
    • US10834483
    • 2004-04-29
    • Wei-Ying MaJi-Rong WenXiaofei HeDeng Cai
    • Wei-Ying MaJi-Rong WenXiaofei HeDeng Cai
    • G06F7/00
    • G06F17/30864Y10S707/99931
    • A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.
    • 一种基于链接和页面布局分析来确定页面图像相关性的方法和系统。 链接分析系统通过首先识别网页内的块,然后分析块对网页,网页到块和图像到块的重要性来确定图像之间的相关性。 基于该分析,链路分析系统确定每个图像与彼此图像相关的程度。 链接分析系统还可以使用图像的相关性来生成图像的排序。 链接分析系统还可以基于它们的相关性生成图像的矢量表示,并将聚类算法应用于矢量表示以识别相关图像的簇。