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Titlebook: Recommender Systems in Fashion and Retail; Proceedings of the F Humberto Jesús Corona Pampín,Reza Shirvany Conference proceedings 2023 The

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發(fā)表于 2025-3-21 16:10:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recommender Systems in Fashion and Retail
副標題Proceedings of the F
編輯Humberto Jesús Corona Pampín,Reza Shirvany
視頻videohttp://file.papertrans.cn/825/824135/824135.mp4
概述Offers the best contributions of the fourth workshop on recommender systems in fashion and retail.Presents a state-of-the-art view of recommender systems for e-commerce.Provides readers with chapters
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Recommender Systems in Fashion and Retail; Proceedings of the F Humberto Jesús Corona Pampín,Reza Shirvany Conference proceedings 2023 The
描述.This book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). .
出版日期Conference proceedings 2023
關鍵詞Recommender Systems; Information Retrieval; Information Systems; Machine Learning; AI Artificial Intelli
版次1
doihttps://doi.org/10.1007/978-3-031-22192-7
isbn_softcover978-3-031-22194-1
isbn_ebook978-3-031-22192-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:19:22 | 只看該作者
1876-1100 ctive within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). .978-3-031-22194-1978-3-031-22192-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems,sted in examining the application of attacks generated by adversarial machine learning techniques to the vertical domain of fashion and retail products. Specifically, the present work focuses on the robustness of cutting-edge CNN models against state-of-the-art adversarial machine learning attacks t
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發(fā)表于 2025-3-22 20:28:34 | 只看該作者
Contrastive Learning for Topic-Dependent Image Ranking,ning successfully provided good content to users. In this line of work, we propose a novel method for .. For a given product, we can commonly imagine selecting the representative from several images describing the product to sell it with intuitive visual information. In this case, we should consider
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發(fā)表于 2025-3-23 04:26:36 | 只看該作者
End-to-End Image-Based Fashion Recommendation,nts to many traditional models, including but not limited to matrix factorization, auto-encoders, and nearest neighbor models. While there are numerous image-based recommender approaches that utilize dedicated deep neural networks, comparisons to attribute-aware models are often disregarded despite
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發(fā)表于 2025-3-23 09:21:25 | 只看該作者
Conference proceedings 2023art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems ar
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