Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce

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Identifiant

oai:arXiv.org:2408.12392

Sujet
Computer Science - Information Ret...
Auteur
Czapp, Ádám Tibor Jani, Mátyás Domián, Bálint Hidasi, Balázs
Catégorie

Computer Science

Année

2024

Date de référencement

28/08/2024

Métrique

Résumé

Coupling latent diffusion based image generation with contextual bandits enables the creation of eye-catching personalized product images at scale that was previously either impossible or too expensive.

In this paper we showcase how we utilized these technologies to increase user engagement with recommendations in online retargeting campaigns for e-commerce.

;Comment: Appearing in the Proceedings of the 18th ACM Conference on Recommender Systems (RecSys'24) as an Industry Track paper

Czapp, Ádám Tibor,Jani, Mátyás,Domián, Bálint,Hidasi, Balázs, 2024, Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce

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arXiv

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