Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
Abstract
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.
Keywords
Cite
@article{arxiv.2203.10996,
title = {Technologies for AI-Driven Fashion Social Networking Service with E-Commerce},
author = {Jinseok Seol and Seongjae Kim and Sungchan Park and Holim Lim and Hyunsoo Na and Eunyoung Park and Dohee Jung and Soyoung Park and Kangwoo Lee and Sang-goo Lee},
journal= {arXiv preprint arXiv:2203.10996},
year = {2022}
}
Comments
16 pages, accepted in International Semantic Intelligence Conference (ISIC) 2022, The Applications and Deployment Track