近年來因網際網路興起的社群媒體有著非常快速的成長，促使每個人有成為社群媒體影響者的機會。對於用戶們所上傳的圖像中，哪些元素能夠引起共鳴、創造吸引力是值得探討的議題，不只過往諸多的學術研究探討也是現今營銷策略轉變中行銷者最在乎的事情。然至今未能有一套完整電腦科學系統整合出圖像吸引力的關鍵因子。綜上所述，本研究旨在開發一套智慧圖像分析與建議系統。此系統基於深度學習、機器學習與圖像處理技術構建而成，透過對圖像特徵的提取，進行吸引力及主流程度的分類預測，並給予使用者相關的圖像改善建議。本研究選定Instagram作為社群媒體代表，並以運動產業做為分析案例，透過四種吸引力定義作為系統輸出。根據結果，系統的驗證準確率達63.1%。藉由實際案例的檢視，本研究所提出之智能系統可以進行客觀的預測與建議，以此幫助社群媒體用戶進行上傳前的圖像評估與改善。

Social media has grown rapidly due to the rise of the Internet, and everyone has the opportunity to become a social media influencer. It is worth discussing which elements in the images uploaded by users can resonate and create attractiveness. However, there are few platforms to advise image attractiveness. This study aims to develop a smart image analysis and advice system. This system is constructed by deep learning and image processing technology. Through the extraction of image features, the classification and prediction of attractiveness and mainstream level are performed, and relevant image improvement suggestions are given to users. This study selects Instagram as the subject of social media, taking the sports industry as the target industry. Four categories of attractiveness are defined as the output of the system. The validation accuracy of the system reaches 63.1%. The proposed system helps social media users to evaluate and improve their images.

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