Invention Grant
- Patent Title: Verifying item attributes using artificial intelligence
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Application No.: US15851519Application Date: 2017-12-21
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Publication No.: US10942967B1Publication Date: 2021-03-09
- Inventor: Felix Biessmann , Cédric Philippe Charles Jean Ghislain Archambeau , Charles Shearer Dorner , Karl Anders Gyllstrom , Robert Yuji Haitani , Aengus Gabriel Martin
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F16/583
- IPC: G06F16/583 ; G06K9/62 ; G06N5/04 ; G06N20/00

Abstract:
A system uses a trained classifier to identify or predict the item attributes of an item depicted in an image, and compares these attributes to those specified in a corresponding item description. The system may, for example, be used to verify the accuracy of listings submitted by users to an electronic catalog. For example, if an item description submitted by a user does not specify all of the item attributes identified from the item image(s) submitted by the user, the system may generate a suggested edit to the item description.
Information query