公开(公告)号：US20140372951A1

公开(公告)日：2014-12-18

申请号：US13916886

申请日：2013-06-13

Applicant: Yahoo! Inc.

Inventor： Ralph Li ,  Evans Tseng ,  Brian Liu

IPC: G06F3/0482

CPC classification number: G06Q30/0601 ,  G06F17/30 ,  G06Q30/02

Abstract: An image-based recommendation system provides a first set of selectable images to a user and receives user selections from the first set of images. If a user selects a single image from the first set of images, the product page associated with the selected image is transmitted to the user. If the user makes multiple selections from the first set of images, then the images associated with the user selections are analyzed and a second set of similar images is generated for transmission to the user. The process of receiving and analyzing user-selected images, generating image sets and transmission of generated images sets continues until the user selects a single image. The precision of identification of similar images can be improved by providing the user selections as training data to the image-based recommendation system.

Abstract translation: 基于图像的推荐系统向用户提供第一组可选图像，并从第一组图像接收用户选择。 如果用户从第一组图像中选择单个图像，则将与所选图像相关联的商品页面发送给用户。 如果用户从第一组图像进行多个选择，则分析与用户选择相关联的图像，并且生成第二组相似图像以便传送给用户。 接收和分析用户选择的图像，生成图像集合和生成的图像集合的传输的过程继续，直到用户选择单个图像。 通过将用户选择作为训练数据提供给基于图像的推荐系统，可以提高类似图像的识别精度。

公开(公告)号：US09727901B2

公开(公告)日：2017-08-08

申请号：US13916886

申请日：2013-06-13

Applicant: Yahoo! Inc.

Inventor： Ralph Li ,  Evans Tseng ,  Brian Liu

IPC: G06Q30/06 ,  G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0601 ,  G06F17/30 ,  G06Q30/02

Abstract: An image-based recommendation system provides a first set of selectable images to a user and receives user selections from the first set of images. If a user selects a single image from the first set of images, the product page associated with the selected image is transmitted to the user. If the user makes multiple selections from the first set of images, then the images associated with the user selections are analyzed and a second set of similar images is generated for transmission to the user. The process of receiving and analyzing user-selected images, generating image sets and transmission of generated images sets continues until the user selects a single image. The precision of identification of similar images can be improved by providing the user selections as training data to the image-based recommendation system.