DiffAds: An Interactive Platform for Personalized Visual Advertisement Generation

Ling Lo, Yi Yao, Hsiu Hua Chou, Rou An Chen, Yu Hsuan Huang, Chien Chih Chiu, Wan Hsin Hsueh, Shih Chieh Huang, Hong Han Shuai, Wen-Huang Cheng

研究成果: Conference contribution同行評審

摘要

Deep understanding of the customer journey followed with the provision of dynamic personalization has been considered to be one of the most effective digital marketing strategies. In this demonstration, based on text-to-image diffusion models, we present DiffAds, an interactive platform for personalized visual advertisement generation. To simulate the process of personalized advertising in digital marketing channels, DiffAds consists of three main stages including style preference discovery, personalized advertising image generation, and user feedback collection. The first stage presents representative images of different visual styles for the user to choose from and the second stage creates the advertising images of a commercial product tailored to user preference. Finally, the third stage allows the user to explicitly rank the generated images as the preference feedback for updating the generative models. The advertising technique behind DiffAds has been practiced in real advertising campaigns of FamilyMart Taiwan (Taiwan's major convenience store chain).

原文English
主出版物標題Proceedings - 2023 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面514-515
頁數2
ISBN(電子)9798350313154
DOIs
出版狀態Published - 2023
事件2023 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2023 - Brisbane, Australia
持續時間: 10 7月 202314 7月 2023

出版系列

名字Proceedings - 2023 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2023

Conference

Conference2023 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2023
國家/地區Australia
城市Brisbane
期間10/07/2314/07/23

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