BOOK CONTENT ITEM SEARCH
    11.
    发明申请
    BOOK CONTENT ITEM SEARCH 有权
    书内容搜索

    公开(公告)号:US20150186501A1

    公开(公告)日:2015-07-02

    申请号:US14658311

    申请日:2015-03-16

    Applicant: Google Inc.

    CPC classification number: G06F17/30616 G06F17/2705 G06F17/3053 G06F17/30958

    Abstract: Methods, systems, and apparatus, including computer program products are provided for ranking distinct book content items based on implicit links to other distinct book content items. The implicit links are defined based on the identification of matching features in the distinct book content items. In some implementations, the matching features are uncommon phrases in textual content of the distinct book content items. Edges representing implicit links are generated between distinct nodes representing distinct book content items in a weighted graph. Search results for distinct book content items can be ordered based on the edges connected to the distinct nodes in the weighted graph that represent the distinct book content items.

    Abstract translation: 提供了包括计算机程序产品在内的方法,系统和装置,用于基于与其他不同书籍内容项目的隐含链接来对不同的书籍内容项目进行排名。 基于不同书籍内容项目中匹配特征的识别来定义隐含链接。 在一些实现中,匹配特征在不同书籍内容项目的文本内容中是不常见的短语。 表示隐式链接的边缘在加权图中表示不同书籍内容项目的不同节点之间生成。 可以根据连接到代表不同书籍内容项目的加权图中不同节点的边缘来排序不同书籍内容项目的搜索结果。

    Performing image similarity operations using semantic classification
    13.
    发明授权
    Performing image similarity operations using semantic classification 有权
    使用语义分类来执行图像相似度运算

    公开(公告)号:US09588990B1

    公开(公告)日:2017-03-07

    申请号:US14678507

    申请日:2015-04-03

    Applicant: Google Inc.

    Abstract: Image similarity operations are performed in which a seed image is analyzed, and a set of semantic classifications are determined from analyzing the seed image. The set of semantic classifications can include multiple positive semantic classifications. A distance measure is determined that is specific to the set of semantic classifications. The seed image is compared to a collection of images using the distance measure. A set of similar images is determined from comparing the seed image to the collection of images.

    Abstract translation: 执行图像相似度操作,其中分析种子图像,并且通过分析种子图像来确定一组语义分类。 语义分类集合可以包括多个正的语义分类。 确定特定于语义分类集合的距离度量。 使用距离测量将种子图像与图像的集合进行比较。 通过比较种子图像和图像的集合来确定一组相似的图像。

    Presenting Career Paths Based On Observed Employment Information
    14.
    发明申请
    Presenting Career Paths Based On Observed Employment Information 审中-公开
    基于观察就业信息提出职业道路

    公开(公告)号:US20150317759A1

    公开(公告)日:2015-11-05

    申请号:US13831209

    申请日:2013-03-14

    Applicant: Google Inc.

    Inventor: Yushi Jing Yi Liu

    CPC classification number: G06Q10/10 G06Q10/1053 G06Q50/2057

    Abstract: In some implementations, a computer-implemented method is provided that includes accessing a database of career path data structures, each career path data structure including an initial node that represents an initial career position, a subsequent node that represents a subsequent career position, and a path element that represents a career transition between the initial career position and the subsequent career position and is associated with data regarding people that have made the career transition between the initial career position and the subsequent career position. The method includes receiving a career path query. The method includes identifying a set of the career path data structures based on the career path query. The method includes generating a set of career paths from the career path data structures, each career path including a directed graph that includes two or more nodes. The method includes providing a representation of the set of career paths.

    Abstract translation: 在一些实现中,提供了一种计算机实现的方法,其包括访问职业路径数据结构的数据库,每个职业路径数据结构包括表示初始职业位置的初始节点,代表后续职业位置的后续节点,以及 路径元素代表了初始职业岗位与随后的职业职位之间的职业转换,并且与有关职业生涯过渡在最初职业岗位和后续职位之间的人员相关。 该方法包括接收职业路径查询。 该方法包括基于职业路径查询识别一组职业路径数据结构。 该方法包括从职业路径数据结构生成一组职业路径,每个职业路径包括包括两个或更多个节点的有向图。 该方法包括提供一组职业路径的表示。

    Clustering Queries For Image Search
    15.
    发明申请
    Clustering Queries For Image Search 有权
    图像搜索的聚类查询

    公开(公告)号:US20150169725A1

    公开(公告)日:2015-06-18

    申请号:US14264411

    申请日:2014-04-29

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/30598 G06F17/30256 G06F17/3028 G06F17/3053

    Abstract: Aspects of the subject matter described herein relate to functions used for retrieving image results based on search queries. More specifically, image search queries can be pre-grouped or classified based on visual and semantic similarity. For example, a pairwise image similarity value for a pair of queries can be computed based on one or more of the sum of all of the overlapping the image results, the sum of the image distances between all of the pairs of images in the image results, and the rank of each of the images in the image results. The pairwise image similarity values can then be used to generate image query clusters. Each image query clusters can include a set of queries with high pairwise image similarity values. In some examples, a distance function can be determined for each image query cluster. This data can be used to provide image results.

    Abstract translation: 本文描述的主题的方面涉及用于基于搜索查询来检索图像结果的功能。 更具体地,可以基于视觉和语义相似性对图像搜索查询进行预分组或分类。 例如,可以基于图像结果重叠的全部和之和中的一个或多个来计算一对查询的成对图像相似度值,图像结果中所有图像对之间的图像距离之和 ,以及图像中每个图像的等级。 然后可以使用成对图像相似度值来生成图像查询簇。 每个图像查询群集可以包括具有高成对图像相似度值的一组查询。 在一些示例中,可以为每个图像查询簇确定距离函数。 该数据可用于提供图像结果。

    Book content item search
    16.
    发明授权
    Book content item search 有权
    预订内容项搜索

    公开(公告)号:US09009170B1

    公开(公告)日:2015-04-14

    申请号:US13764013

    申请日:2013-02-11

    Applicant: Google Inc.

    CPC classification number: G06F17/30616 G06F17/2705 G06F17/3053 G06F17/30958

    Abstract: Methods, systems, and apparatus, including computer program products are provided for ranking distinct book content items based on implicit links to other distinct book content items. The implicit links are defined based on the identification of matching features in the distinct book content items. In some implementations, the matching features are uncommon phrases in textual content of the distinct book content items. Edges representing implicit links are generated between distinct nodes representing distinct book content items in a weighted graph. Search results for distinct book content items can be ordered based on the edges connected to the distinct nodes in the weighted graph that represent the distinct book content items.

    Abstract translation: 提供了包括计算机程序产品在内的方法,系统和装置,用于基于与其他不同书籍内容项目的隐含链接来对不同的书籍内容项目进行排名。 基于不同书籍内容项目中匹配特征的识别来定义隐含链接。 在一些实现中,匹配特征在不同书籍内容项目的文本内容中是不常见的短语。 表示隐式链接的边缘在加权图中表示不同书籍内容项目的不同节点之间生成。 可以根据连接到代表不同书籍内容项目的加权图中不同节点的边缘来排序不同书籍内容项目的搜索结果。

    Book content item search
    18.
    发明授权

    公开(公告)号:US09342583B2

    公开(公告)日:2016-05-17

    申请号:US14658311

    申请日:2015-03-16

    Applicant: Google Inc.

    CPC classification number: G06F17/30616 G06F17/2705 G06F17/3053 G06F17/30958

    Abstract: Methods, systems, and apparatus, including computer program products are provided for ranking distinct book content items based on implicit links to other distinct book content items. The implicit links are defined based on the identification of matching features in the distinct book content items. In some implementations, the matching features are uncommon phrases in textual content of the distinct book content items. Edges representing implicit links are generated between distinct nodes representing distinct book content items in a weighted graph. Search results for distinct book content items can be ordered based on the edges connected to the distinct nodes in the weighted graph that represent the distinct book content items.

    Grouping of image search results
    20.
    发明授权
    Grouping of image search results 有权
    分组图像搜索结果

    公开(公告)号:US09116921B2

    公开(公告)日:2015-08-25

    申请号:US14492515

    申请日:2014-09-22

    Applicant: Google Inc.

    Abstract: This specification relates to presenting image search results. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving an image query, the image query being a query for image search results; receiving ranked image search results responsive to the image query, the image search results each including an identification of a corresponding image resource; generating a similarity matrix for images identified by the image search results; generating a hierarchical grouping of the images using the similarity matrix; identifying a canonical image for each group in the hierarchical grouping using a ranking measure; and presenting a visual representation of the image search results based on the hierarchical grouping and the identified canonical images.

    Abstract translation: 本说明书涉及呈现图像搜索结果。 通常,本说明书中描述的主题的一个方面可以体现在包括接收图像查询的动作,图像查询是图像搜索结果的查询的方法中; 响应于图像查询接收排序图像搜索结果,图像搜索结果各自包括相应图像资源的标识; 生成由图像搜索结果识别的图像的相似性矩阵; 使用相似性矩阵生成图像的分层分组; 使用排序度量来识别分层分组中的每个组的规范图像; 并且基于分层分组和识别的规范图像来呈现图像搜索结果的视觉表示。

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