公开(公告)号：US11645693B1

公开(公告)日：2023-05-09

申请号：US16804758

申请日：2020-02-28

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Yen-Liang Lin ,  Son Tran ,  Larry Davis

IPC: G06F17/16 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0601

CPC classification number: G06Q30/0629 ,  G06F17/16 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0641

Abstract: An example method of complementary consumer item selection includes: receiving, by a computer system, an image representing a first consumer item of a reference set of consumer items; identifying a target category of a complementary consumer item to be associated with the reference set of consumer items; generating, by a neural network processing the set of images, a feature embeddings representing the first consumer item in relation to the target category; selecting, using the feature embedding, from a set of available consumer items, a plurality of candidate consumer items associated with the target category; and selecting, among the plurality of candidate consumer items, the complementary consumer item to be associated with the reference set of consumer items.

公开(公告)号：US12248872B1

公开(公告)日：2025-03-11

申请号：US17486666

申请日：2021-09-27

Applicant: Amazon Technologies, Inc.

Inventor： Anurag Beniwal ,  Meet Taraviya ,  Yen-Liang Lin ,  Larry Davis

IPC: G06N3/08 ,  G06F18/21 ,  G06Q10/083

Abstract: Systems and methods are described for recommending pairs or sets of clothing items for an individual to wear together, including learning a compatibility metric personalized to each individual. A framework is used to learn compatibility that is personalized to the user based on initial item feedback that may be received from the user via user interfaces that prompt the user to indicate whether the user would wear certain clothing items together and/or individually.