Content Based Image Search for Clothing Recommendations in E-Commerce
Content Based Image Search for Clothing Recommendations in E-Commerce
复制标题
基于内容的电子商务服装推荐图像搜索
DOI:
10.1007/978-3-319-14998-1_11
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Haoran Wang
中科院分区:
文献类型:
--
作者:
Haoran Wang
A number of algorithms exist in measuring clothing similarity for clothing recommendations in E-commerce. The clothing similarity mostly depends on its shape, texture and style. In this paper we introduce three models of defining feature space for clothing recommendations. The sketch-based image search mainly focuses on defining similarity of clothing in contour dimension. The spatial bag-of-feature approach is employed to measure the clothing similarity of local image patterns. Finally, we introduce a query adaptive shape model which combines shape characteristics and labels of clothing, in order to take the semantic information of clothing. A large number of simulations are given to show the feasibility and performance of the clothing recommendations by using content-based image search.
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DOI:
10.1007/978-3-642-37444-9_33
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期刊:
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影响因子:
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Proceedings of the 20th ACM international conference on Multimedia
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