电商平台“大数据杀熟”的识别与消费者应对策略

Identification of Big Data-Driven Price Discrimination on E-Commerce Platforms and Consumer Coping Strategies

摘要: 本文聚焦电商平台“大数据杀熟”现象，系统阐述其识别方法，包括跨设备比价、新旧账号验证、价格波动追踪等。同时，从法律、技术、行为干预三个维度提出消费者应对策略，旨在为消费者提供实用指导，推动电商平台规范发展。研究表明，消费者通过主动维权与技术手段干预，可有效降低被“杀熟”风险。

Abstract: This paper focuses on the phenomenon of algorithmic price discrimination on e-commerce platforms by examining representative, including cross-device price comparison, new versus existing account verification, and monitoring price fluctuations. Furthermore, the study proposes multidimensional strategies for consumers from legal, technical, and behavioral intervention perspectives. The research aims to provide practical guidance for consumers and promote the standardized development of e-commerce platforms. Findings indicate that proactive rights protection and the application of technical measures can significantly mitigate consumers' risk of being subjected to algorithmic price discrimination.