可解释的时尚兼容性预测:属性增强神经框架

IF 5.9 3区 管理学 Q1 BUSINESS Electronic Commerce Research and Applications Pub Date : 2024-09-14 DOI:10.1016/j.elerap.2024.101451
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引用次数: 0

摘要

把握时尚产品配对之间的互补关系越来越受到电子商务领域的关注。目前的方法主要利用视觉线索来评估兼容性,尽管这些线索很有效,但往往缺乏足够的可解释性。与此同时,产品属性中蕴含的丰富语义细节在很大程度上仍未得到开发。为了解决这个问题,我们提出了一个名为 "可解释属性增强神经框架"(EAN)的新框架,该框架整合了综合属性和视觉数据,从而在时尚产品兼容性建模中实现了可解释性。我们进行了定量和定性实验,以证明我们提出的框架的有效性和可解释性。我们的研究具有双重实际意义。首先,它有助于消费者理解时尚产品搭配的根本原因,从而帮助他们完善自己的着装组合。其次,它为产品设计提供了新的视角,有助于电子商务平台创造更有效的产品营销组合。
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Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework

Grasping complementary relationships between fashion product pairings is gaining increasing attention in the e-commerce field. Current methods primarily utilize visual cues to assess compatibility, which, despite their efficacy, often lack sufficient explainability. Meanwhile, the rich semantic details embedded in product attributes remain largely unexplored. To tackle this, we propose a novel framework called Explainable Attribute-augmented Neural framework (EAN), which integrates comprehensive attribute and visual data, enabling explainability in fashion product compatibility modeling. We conduct quantitative and qualitative experiments to demonstrate the effectiveness and explainability of our proposed framework. The practical significance of our research is twofold. Firstly, it helps consumers understand the underlying reasons for fashion item pairings, thereby assisting them in refining their dressing combinations. Secondly, it provides novel perspectives for product design and assists e-commerce platforms in creating more effective product marketing combinations.

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来源期刊
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications 工程技术-计算机:跨学科应用
CiteScore
10.10
自引率
8.30%
发文量
97
审稿时长
63 days
期刊介绍: Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge. Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.
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