Amazon Technologies, Inc.

David Neiman

Eduard Oks

Alexander Lorbert

Arik Poznanski

Gabi Shalev

Megan E Anderson

Layne Skullerud

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.

Real-time interactive outfit recommendation

Techniques are generally described for performing outfit recommendation 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 machine learning mode 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 based on the distances between the first output feature vector and the other feature vectors.

Attribute-aware outfit recommendation

Growing community of inventors

Tel Aviv, Israel

David Neiman