公开(公告)号：US20130262430A1

公开(公告)日：2013-10-03

申请号：US13434843

申请日：2012-03-29

Applicant: Krishnan Thazhathekalam ,  David D. Ahn ,  Andrea Burbank ,  Taroon Mandhana ,  David Simpson ,  Yi-An Lin

Inventor： Krishnan Thazhathekalam ,  David D. Ahn ,  Andrea Burbank ,  Taroon Mandhana ,  David Simpson ,  Yi-An Lin

IPC: G06F17/30

CPC classification number: G06F16/58 ,  G06F16/9535

Abstract: Architecture that computes a dominant image from one or more images on a webpage. A dominant image classifier scans webpages in an offline-created index to identify the prominent images in the webpages. In a more specific implementation the image selected is the image associated with a name query. Face detection technology can be utilized to identify which of the images on a given webpage contain faces. A query classifier identifies queries that contain people names. In the context of search engines and search result pages, the web results for name queries can further include prominent people face images as thumbnail images. Additional facts (structured data) can further be included that together with the results elements of caption title, snippet and attribute (uniform resource locator (URL)) provide an improved summary of the person on the page.

Abstract translation: 从网页上的一个或多个图像计算显性图像的体系结构。 主要图像分类器在离线创建的索引中扫描网页以识别网页中的突出图像。 在更具体的实现中，所选择的图像是与名称查询相关联的图像。 脸部检测技术可用于识别给定网页上的哪些图像包含脸部。 查询分类器识别包含人员名称的查询。 在搜索引擎和搜索结果页面的上下文中，用于名称查询的网页结果可以进一步包括突出人物将图像作为缩略图。 可以进一步包括附加事实（结构化数据），与标题标题，片段和属性（统一资源定位符（URL））的结果元素一起提供页面上人员的改进摘要。

公开(公告)号：US08452752B2

公开(公告)日：2013-05-28

申请号：US13102489

申请日：2011-05-06

Applicant: Kevin Haas ,  Yi-An Lin ,  Shankar Kalyanaraman ,  Sameer Indarapu

Inventor： Kevin Haas ,  Yi-An Lin ,  Shankar Kalyanaraman ,  Sameer Indarapu

IPC: G06F7/00

CPC classification number: G06F17/30864

Abstract: Methods, systems, and computer-storage media having computer-usable instructions embodied thereon, for prioritizing crawl lists based on social networking rankings are provided. Various scores are associated with users based on a variety of factors including activity levels with respect to social networking services, activity levels with respect to search engines, and interactions with other users in a social networking environment. The scores are used to compute a ranking for the users and, based on the rankings, a crawl list is prioritized such that content associated with the social networking environment is crawled at an appropriate time.

Abstract translation: 提供了具有其上体现计算机可用指令的方法，系统和计算机存储介质，用于基于社交网络排名来优先处理爬取列表。 基于各种因素，包括关于社交网络服务的活动水平，关于搜索引擎的活动水平以及与社交网络环境中的其他用户的交互的各种因素，各种分数与用户相关联。 分数用于计算用户的排名，并且基于排名，将抓取列表优先排列，使得在适当的时间爬行与社交网络环境相关联的内容。