A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications
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- 作者：Patrí ; cia C. Saraivaa ; patricia.saraiva@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Joã ; o M.B. Cavalcanti ; a ; john@icomp.ufam.edu.br" class="auth_mail" title="E-mail the corresponding author ; Edleno S. de Mouraa ; edleno@icomp.ufam.edu.br" class="auth_mail" title="E-mail the corresponding author ; Marcos A. Gonç ; alvesb ; mgoncalv@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author ; Ricardo da S. Torresc ; rtorres@ic.unicamp.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Content-based image retrieval ; Multimodal query expansion ; Genetic programming ; E-commerce
- 刊名：Information Processing & Management
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：52
- 期：5
- 页码：783-800
- 全文大小：2751 K
文摘
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An application of Genetic Programming where the results are better than previous results found in literature.
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A comparison of a Genetic Programming solution with two other learning-to-rank techniques: RankSVM and Random Forests.
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A multimodal expansion uses the initial query to infer other attributes that are relevant to the query.
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A new approach for visually-oriented e-commerce applications.
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A solution useful when the user is searching for products such as clothing, shoes, handbags, watches, and accessories.
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A solution that allows finding relevant products related to an image query even though their image representation is not similar to the query.