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ISEMDI Journal Article

Investigated consumer vulnerability to algorithmic price discrimination in the big data era. Surveyed 1523 Xinjiang residents, using C4.5 decision trees to analyze pricing patterns. Highlighted digital fairness gaps in emerging markets. Advanced data mining & ethical AI design for consumer protection. Published in ISEMDI Int’l Conference Journal.The paper has been published by Darcy & Roy Press and submitted to CPCI, CNKI, Harvard Library, CrossRef, DOI, ResearchGate, Scilit, and Google for indexing.

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Exploration on Consumers' Cognition, Coping Strategies and Future Consumption Intentions Regarding Price Discrimination in the Big Data Era

Independent first author

YANRAN CAO

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