远见 发表于 2025-3-21 16:10:23
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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高射炮 发表于 2025-3-22 03:38:11
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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 tSedative 发表于 2025-3-22 20:28:34
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刻苦读书 发表于 2025-3-22 22:19:49
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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 despiteConstrain 发表于 2025-3-23 09:21:25
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