Amazon Technologies, Inc.

Karl Anders Gyllstrom

Charles Shearer Dorner

Robert Yuji Haitani

Cédric Philippe Charles Jean Ghislain Archambeau

Felix Biessmann

Aengus Gabriel Martin

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.

Verifying item attributes using artificial intelligence

Techniques described herein include a system and method for identifying color complements from an electronic marketplace catalog. In particular, the disclosure is directed to extracting color palette information from a variety of item images in the electronic catalog and creating clusters into which separate items are placed based on their similarity in colors. Multi-colored items may belong to more than one cluster (they may belong to a cluster for each color associated with the item). The clusters that share multi-colored items may be analyzed to determine the strength of a relationship between the two clusters. Clusters that share a significant number of items may be associated with complementary colors. In this disclosure, a service provider may receive a request related to an item, and may subsequently identify and recommend a complementary item.

Color-based recommendations using product images

A system that verifies the attributes included in the description of an item using artificial intelligence is provided. For example, the system may use a feature extractor to identify color, shape, and/or texture features of a provided image. The system may then use a linear classifier to process the extracted features to identify attributes of the item depicted in the image. The system may compare the identified attributes with the attributes listed in the item's description. If there are any discrepancies, the system may revise the item description to include the identified attributes or provide suggested revisions to a user based on the identified attributes.

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Seattle, WA, United States of America

Karl Anders Gyllstrom