公开(公告)号：US20150169754A1

公开(公告)日：2015-06-18

申请号：US13780848

申请日：2013-02-28

Applicant: Google Inc.

Inventor： Kunlong Gu ,  Sean Arietta ,  Charles J. Rosenberg ,  Thomas J. Duerig ,  Erik Murphy-Chutorian

IPC: G06F17/30

CPC classification number: G06F17/30256

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing image search result relevance. In one aspect, a method includes receiving result data specifying a search query and responsive image search results that reference images that are responsive to the search query. A determination is made that the search query matches an indexed query. An image relevance model is identified for the indexed query. The image relevance model can output a relevance score adjustment factor for an image search result based on image feature values of the image that is referenced by the search result. A relevance score adjustment factor is determined for each image search result using the identified image relevance model. A relevance score for each image search result is adjusted using the image's image relevance score adjustment factor. The images are ranked based on the adjusted relevance scores.

Abstract translation: 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，用于分析图像搜索结果相关性。 一方面，一种方法包括接收指定搜索查询的结果数据和引用响应于搜索查询的图像的响应图像搜索结果。 确定搜索查询与索引查询匹配。 为索引查询识别图像相关性模型。 图像相关性模型可以基于由搜索结果引用的图像的图像特征值输出图像搜索结果的相关性分数调整因子。 使用所识别的图像相关性模型，针对每个图像搜索结果确定相关性得分调整因子。 使用图像的图像相关性得分调整因子来调整每个图像搜索结果的相关性分数。 图像根据调整的相关性分数进行排名。