mlsanityData to 14 Oct 2026

Technologies for AI-Driven Fashion Social Networking Service with E-Commerce

arXiv 2203.10996 ↗First posted 11 Mar 2022cs.IR cs.AI cs.MMcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 54 references that are in the map. First posted on arXiv 11 Mar 2022.

Builds on

23 of 54 references.

References · 23

  1. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,049
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,849
  4. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  5. 2017Neural Collaborative Filteringcited by 1,111
  6. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 861
  7. 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
  8. 2020Proxy Anchor Loss for Deep Metric Learningcited by 195
  9. 2015VBPR: Visual Bayesian Personalized Ranking from Implicit Feedbackcited by 151
  10. 2019DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Imagescited by 134
  11. 2015Deep Human Parsing with Active Template Regressioncited by 51
  12. 2019The iMaterialist Fashion Attribute Datasetcited by 37
11 more
  1. 2018ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotationscited by 33
  2. 2020Fashion Meets Computer Vision: A Surveycited by 30
  3. 2021Visual Search at Alibabacited by 27
  4. 2017Visual Search at eBaycited by 25
  5. 2016Fashion Landmark Detection in the Wildcited by 21
  6. 2017Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Predictioncited by 19
  7. 2017Style2Vec: Representation Learning for Fashion Items from Style Setscited by 8
  8. 2019Deep Learning Sentiment Analysis of Amazon.com Reviews and Ratingscited by 3
  9. 2021Large-Scale Visual Search with Binary Distributed Graph at Alibabacited by 3
  10. 2020Exploiting Knowledge Graphs for Facilitating Product/Service Discoverycited by 1
  11. 2021fAshIon after fashion: A Report of AI in Fashioncited by 1

Built on by

Not cited yet.