论文标题
通过电子商务的AI驱动时尚社交网络服务的技术
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
论文作者
论文摘要
在线时尚市场的快速增长带来了对创新时尚服务和商业平台的需求。随着深度学习的最新成功，许多应用程序采用了AI技术，例如视觉搜索和推荐系统来提供新颖和有益的服务。在本文中，我们描述了融合了时尚电子商务的AI驱动时尚社交网络服务的应用技术。在应用程序中，人们可以共享并浏览其日常服装（OOTD）照片，而AI则分析它们并建议使用类似的OOTD和相关产品。为此，我们训练了基于深度学习的时尚模型，并将它们整合在一起以构建时尚视觉搜索系统和OOTD的推荐系统。借助上述技术，AI驱动的时尚SNS平台ITOO已成功启动。
The rapid growth of the online fashion market brought demands for innovative fashion services and commerce platforms. With the recent success of deep learning, many applications employ AI technologies such as visual search and recommender systems to provide novel and beneficial services. In this paper, we describe applied technologies for AI-driven fashion social networking service that incorporate fashion e-commerce. In the application, people can share and browse their outfit-of-the-day (OOTD) photos, while AI analyzes them and suggests similar style OOTDs and related products. To this end, we trained deep learning based AI models for fashion and integrated them to build a fashion visual search system and a recommender system for OOTD. With aforementioned technologies, the AI-driven fashion SNS platform, iTOO, has been successfully launched.
