Verfahren und System zur Personalisierten Ersatzproduktempfehlung

Details

Veröffentlichungs-Nr.

EP4184387

Aktenzeichen

EP22202818

Anmeldetag

20. Oktober 2022

Veröffentlichung

17. April 2024

Erteilung

17. April 2024

Rechtsraum

EP

IPC

G06N3/02G06N3/04G06N3/08G06N20/00G06V10/82G06F16/532G06F16/535G06F16/538G06F16/583G06N3/0464G06Q30/0601G06F16/9535G06N3/045G06N3/082

Abstract

Product recommendation is a very important aspect of e-commerce applications. Traditional product recommendation systems recommend products similar to a query image provided by a user and allows minimum or no personalization. It is challenging to incorporate personalization due to the presence of overlapping fine-grained attributes, variations in attribute style and visual appearance, small inter-class variation and class imbalance in the images of products. Embodiments of present disclosure address these challenges by a method of personalized substitute product recommendation using Personalized Attribute Search Networks (PAtSNets) comprising neural network layers interleaved with Attentive Style Embedding (ASE) modules to generate attribute-aware feature representation vector of a query image provided by the user and conforming to the personalization instructions specified by the user. This feature representation vector is then used to recommend substitute products to the user. Thus, embodiments of present disclosure enable accurate substitute product recommendation suiting user requirements.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete