Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911999561039872 |
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| author | Czapp, Ádám Tibor Jani, Mátyás Domián, Bálint Hidasi, Balázs |
| author_facet | Czapp, Ádám Tibor Jani, Mátyás Domián, Bálint Hidasi, Balázs |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_12392 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce Czapp, Ádám Tibor Jani, Mátyás Domián, Bálint Hidasi, Balázs Information Retrieval 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. |
| title | Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2408.12392 |