Real-time interactive outfit recommendation

US12169859B1 · kind B1 · utility

Assignee

• AMAZON TECHNOLOGIES, INC. · US

Inventors

• Alexander Lorbert · Givat Shmuel, IL
• David Neiman · San Fernando, US
• Arik Poznanski · Herzliya, IL
• Eduard Oks · Redmond, US
• Megan E Anderson · Seattle, US
• Layne Skullerud · La Mesa, US

Key dates

• Filing date: Nov 23, 2021
• Grant date: Dec 17, 2024
• Expiry date: Aug 7, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0643
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Techniques are generally described for displaying outfit recommendations using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one fashion item. First image data depicting a second fashion item of a first item category may be received. A recurrent neural network may generate a first output feature vector based on the first state vector, the first image data, a first attribute vector, and the first item category. The first output feature vector may be compared to other feature vectors representing other fashion items in the first category to determine distances between the first output feature vector and the other feature vectors. A set of fashion items may be recommended and displayed based on the distances between the first output feature vector and the other feature vectors.