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• The paper introduces One Size, Many Fits (OSMF), a framework for aligning diverse group-wise click preferences in advertising image generation.method 95%
• OSMF uses product-aware adaptive grouping to dynamically organize users based on attributes and product characteristics.method 90%
• OSMF employs a Group-aware Multimodal Large Language Model (G-MLLM) to generate tailored images for each user group.method 90%
• The G-MLLM is fine-tuned using Group-DPO for group-wise preference alignment, enhancing each group's CTR on generated images.method 85%
• The paper introduces the Grouped Advertising Image Preference Dataset (GAIP), a large-scale public dataset of group-wise image preferences.technical 95%
• OSMF achieves state-of-the-art performance in both offline and online settings.result 90%
• The framework's performance depends on the quality and relevance of the GAIP dataset.limitation 75%

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