ClearCart
收藏DataCite Commons2026-03-23 更新2026-05-04 收录
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https://data.mendeley.com/datasets/g63rjvz3jd/1
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资源简介：
The rapid integration of machine learning within e-commerce has optimised personalised recommendations but inadvertently cultivated an 'algorithmic transparency paradox'. Consumers routinely encounter opaque, black-box algorithms alongside compliance-driven, binary privacy mechanisms (such as cookie banners) that extract behavioural data without offering direct financial compensation. To navigate these interconnected challenges, this study introduces 'ClearCart', a novel e-commerce architecture featuring two primary interventions. First, an 'Algorithmic Nutrition Label' utilises SHAP values to visually demystify recommendation logic. Second, a 'Data Dividend' acts as a dynamic pricing engine, operationalising Privacy Calculus Theory by providing real-time financial discounts in exchange for data disclosure.
提供机构：
Mendeley Data
创建时间：
2026-03-23
