---
title: "Fashion Coordinates Recommender System Using Photographs from Fashion Magazines"
authors:
  - "Tomoharu Iwata"
  - "Shinji Watanabe"
  - "Hiroshi Sawada"
doi: "10.5591/978-1-57735-516-8/IJCAI11-377"
url: "https://ijcai.org/proceedings/2011/377"
pdf: "https://ijcai.org/proceedings/2011/0377.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "2262-2266"
track: ""
keywords:
---

# Fashion Coordinates Recommender System Using Photographs from Fashion Magazines

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 2262-2266. DOI: [10.5591/978-1-57735-516-8/IJCAI11-377](https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-377)

## Abstract

Fashion magazines contain a number of photographs of fashion models, and their clothing coordinates serve as useful references. In this paper, we propose a recommender system for clothing coordinates using full-body photographs from fashion magazines. The task is that, given a photograph of a fashion item (e.g. tops) as a query, to recommend a photograph of other fashion items (e.g. bottoms) that is appropriate to the query. With the proposed method, we use a probabilistic topic model for learning information about coordinates from visual features in each fashion item region. We demonstrate the effectiveness of the proposed method using real photographs from a fashion magazine and two fashion style sharing services with the task of making top (bottom) recommendations given bottom (top) photographs.