Fashion Coordinates Recommender System Using Photographs from Fashion Magazines
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.
Cite
Text
Iwata et al. "Fashion Coordinates Recommender System Using Photographs from Fashion Magazines." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-377Markdown
[Iwata et al. "Fashion Coordinates Recommender System Using Photographs from Fashion Magazines." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/iwata2011ijcai-fashion/) doi:10.5591/978-1-57735-516-8/IJCAI11-377BibTeX
@inproceedings{iwata2011ijcai-fashion,
title = {{Fashion Coordinates Recommender System Using Photographs from Fashion Magazines}},
author = {Iwata, Tomoharu and Watanabe, Shinji and Sawada, Hiroshi},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2011},
pages = {2262-2267},
doi = {10.5591/978-1-57735-516-8/IJCAI11-377},
url = {https://mlanthology.org/ijcai/2011/iwata2011ijcai-fashion/}
}