Fashion Coordinates Recommender System Using Photographs from Fashion Magazines
Fashion Coordinates Recommender System Using Photographs from Fashion Magazines
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DOI：
10.5591/978-1-57735-516-8/ijcai11-377
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发表时间：
2011-07
期刊：
影响因子：
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通讯作者：
Tomoharu Iwata;Shinji Watanabe;H. Sawada
中科院分区：
文献类型：
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作者：
Tomoharu Iwata;Shinji Watanabe;H. Sawada
时尚杂志上有许多时装模特的照片，她们的服装坐标可以作为有用的参考。在这篇文章中，我们提出了一种使用时尚杂志上的全身照片的服装坐标推荐系统。任务是在给定时尚单品(例如上衣)的照片作为查询的情况下，推荐适合于该查询的其他时尚单品(例如内裤)的照片。在该方法中，我们使用一个概率主题模型从每个时尚单品区域的视觉特征中学习关于坐标的信息。我们使用一家时尚杂志和两家时尚风格分享服务的真实照片演示了该方法的有效性，任务是给出底部(顶部)照片做出顶部(底部)推荐。
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.