Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
\'Ad\'am Tibor Czapp, M\'aty\'as Jani, B\'alint Domi\'an, Bal\'azs, Hidasi

TL;DR
This paper presents a scalable method combining latent diffusion image generation and contextual bandits to create personalized product images, significantly enhancing user engagement in e-commerce retargeting campaigns.
Contribution
It introduces a novel integration of diffusion-based image synthesis with contextual bandits for scalable personalized product image generation.
Findings
Increased user engagement in retargeting campaigns
Effective scalable personalized image creation
Demonstrated practical application in e-commerce
Abstract
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.
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Taxonomy
MethodsDiffusion
