- 专利标题: Region-specific image download probability modeling
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申请号: US15978668申请日: 2018-05-14
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公开(公告)号: US10599711B1公开(公告)日: 2020-03-24
- 发明人: Vaibhav Malpani , Nathan Hurst
- 申请人: Shutterstock, Inc.
- 申请人地址: US NY New York
- 专利权人: Shutterstock, Inc.
- 当前专利权人: Shutterstock, Inc.
- 当前专利权人地址: US NY New York
- 代理机构: McDermott Will & Emery LLP
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06K9/66 ; G06F16/583 ; G06F16/248 ; G06F16/25 ; G06F16/2457
摘要:
Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.
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