公开(公告)号：US09152652B2

公开(公告)日：2015-10-06

申请号：US13828254

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Kunlong Gu ,  Charles J. Rosenberg ,  Mingchen Gao ,  Thomas J. Duerig

IPC: G06F17/30

CPC classification number: G06F17/30244

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying images responsive to a search phrase are disclosed. In one aspect, a method includes identifying a set of responsive images for a search phrase that includes two or more terms. Interaction rankings are determined for images in the set of responsive images. Two or more sub-queries are created based on the search phrase. Sub-query model rankings are determined for images in the set of responsive images. A search phrase score is determined for the image relevance model. Based on the search phrase scores for the sub-queries, one of the sub-query models is selected as a model for the search phrase.

Abstract translation: 公开了方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于方法，系统和装置，包括编码在计算机存储介质上的计算机程序，用于响应于搜索短语识别图像。 一方面，一种方法包括识别包括两个或多个术语的搜索短语的一组响应图像。 确定响应图像集中的图像的相互作用排名。 基于搜索短语创建两个或多个子查询。 确定响应图像集中的图像的子查询模型排名。 确定图像相关性模型的搜索短语得分。 基于子查询的搜索短语分数，选择一个子查询模型作为搜索短语的模型。

公开(公告)号：US20150169631A1

公开(公告)日：2015-06-18

申请号：US13828254

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Kunlong Gu ,  Charles J. Rosenberg ,  Mingchen Gao ,  Thomas J. Duerig

IPC: G06F17/30

CPC classification number: G06F17/30244

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying images responsive to a search phrase are disclosed. In one aspect, a method includes identifying a set of responsive images for a search phrase that includes two or more terms. Interaction rankings are determined for images in the set of responsive images. Two or more sub-queries are created based on the search phrase. Sub-query model rankings are determined for images in the set of responsive images. A search phrase score is determined for the image relevance model. Based on the search phrase scores for the sub-queries, one of the sub-query models is selected as a model for the search phrase.

Abstract translation: 公开了方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于方法，系统和装置，包括编码在计算机存储介质上的计算机程序，用于响应于搜索短语识别图像。 一方面，一种方法包括识别包括两个或多个术语的搜索短语的一组响应图像。 确定响应图像集中的图像的相互作用排名。 基于搜索短语创建两个或多个子查询。 确定响应图像集中的图像的子查询模型排名。 确定图像相关性模型的搜索短语得分。 基于子查询的搜索短语分数，选择一个子查询模型作为搜索短语的模型。