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Amazon: shopping preferences reveal personal inferences
TechCrunch describes an Amazon page displaying information inferred from purchases. Some profiles contain intimate assumptions, raising questions about the scope of personalization.
Legal disclosure: this content was produced by an artificial intelligence system. Editorial transparency
TechCrunch describes a section of Amazon's settings that lets users view assumptions drawn from their purchases. The highlighted case concerns a Threads user who discovered an assessment of her body shape among information about her shopping habits. She attributes this inference to buying particular leggings; that explanation remains her own.
The article says the section is accessible through the account's shopping preferences. On desktop, an option to manage information appears at the bottom of this page. In the mobile app, the route goes through the account, shopping preferences and then the section about the user. These instructions describe the route reported by TechCrunch, without establishing its availability for every account or in every country.
The examples listed also cover interests and consumption preferences: photography, collectible card games, vinyl records and natural materials. What they share is the progression from a purchase history to an assumed portrait of the person.
A cautious reading distinguishes information declared by the customer from characteristics the platform attributes to them. Displaying these characteristics makes it possible to observe certain inferences, but the article describes neither the full set of data used nor the method employed. It therefore cannot establish the general accuracy of these profiles or their exact role in shopping recommendations.