Verfahren und System zur Personalisierten Vorhersage der Outfit-Kompatibilität

Details

Veröffentlichungs-Nr.

EP4478253

Aktenzeichen

EP24175870

Anmeldetag

15. Mai 2024

Veröffentlichung

13. August 2025

Erteilung

13. August 2025

Rechtsraum

EP

IPC

G06N3/045G06N3/08G06V10/82G06V20/30

Abstract

Unlike visual similarity, visual compatibility is a complex concept. Existing approaches for outfit compatibility prediction does not focus on methods with personalization. The present disclosure proposes a novel approach to model the user's preference for different styles. The outfit compatibility prediction module is a critical component of an outfit recommendation system. An outfit is said to be compatible if all the items are visually compatible and match the user's preferences. The present disclosure represents the outfit as a graph and uses Graph Neural Network (GNN) with attention mechanism to capture the inter-relationship between the items. A graph readout layer generates the final outfit embedding. The proposed approach efficiently models the preferences of the users for different styles. Finally, the outfit compatibility score is generated by computing the similarity between the outfit embedding and the user embedding.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete