公开(公告)号：US20150161168A1

公开(公告)日：2015-06-11

申请号：US14059157

申请日：2013-10-21

Applicant: Google Inc.

Inventor： Michele Covell ,  Yushi Jing ,  Jingbin Wang ,  Charles J. Rosenberg ,  Sarah Moussa

IPC: G06F17/30

CPC classification number: G06F16/583 ,  G06F16/58 ,  G06F16/951

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

Abstract translation: 公开了用于对图像排序的方法，系统和装置，包括计算机程序产品。 图像搜索子系统生成表示相对于搜索查询的图像的质量度量的调整因子。 质量表示图像与查询的相关性。 调整因子可以基于图像与查询的相关性数据计算，图像相似度数据表示图像和与查询相关的其他图像之间的相对相似度。 相关数据可以基于响应于图像被包括在查询的搜索结果中的用户动作。 可以基于相关性数据和图像相似性数据是否都指示图像与搜索查询相关来来调整调整因子。 基于调整因子（例如，调整因子和相关性得分的乘积）来计算相关性得分。