Document detail
ID
oai:arXiv.org:2408.12392
Topic
Computer Science - Information Ret...Author
Czapp, Ádám Tibor Jani, Mátyás Domián, Bálint Hidasi, BalázsCategory
Computer Science
Year
2024
listing date
8/28/2024
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.
;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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