如何才能夠吸引觀眾的目光，進而引起共鳴，成為社群媒體經營者所關心的議題。雖然圖像生成正在興起，但是指引圖像生成的適當規則變得相當具有挑戰性。本研究開發了一套智慧圖像建議系統(IIRS)，透過基於雙目標深度學習的規則生成機制提取Instagram上的圖像特徵，以滿足高互動率與健康的願望。本研究以早午餐服務業做為案例進行研究，將圖像分為五組吸引力等級和三組營養等級。透過分析和預測圖像的吸引力特徵和熱量程度，然後生成相關的圖像生成/修改規則，以建議進一步的自動圖像生成。研究結果顯示，對於吸引力和營養的預測準確率分別達到47%和72.68%，而所提出的圖像建議系統有助於為社群媒體平台提供明確而具成效的建議。

How to attract the attention of the audience and then resonate has become a concern for social media managers. Although image generation is emerging, appropriate rules to guide image generation becomes challenging. This study developed an intelligent image recommendation system (IIRS). By extracting the image features on Instagram by a dual-objective deep learning-based rule generation mechanism, the high engagement rate and diet desires are fulfilled. A case study on Brunch service industry is conducted. The images are categorized into five levels of attractiveness and three levels of nutrition. The attractiveness features and the calories level of images are analyzed and predicted, and then relevant image generation/modification rules are generated to advise further automatic image generation. The results showed that the accuracies of attractiveness and nutrition reached 47% and 72.68% respectively. The proposed image advice system facilitates definite and productive advices for social media platforms.

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