In the current era of deep development of the digital economy, the integration of big data and artificial intelligence technology has promoted the comprehensive penetration of algorithmic recommendation systems into various consumer scenarios, becoming the core hub connecting consumer demand and market supply. Algorithmic recommendation relies on multi-dimensional user behavior data to construct accurate digital portraits, and achieves a transformation of the consumption paradigm of "finding people with goods" through personalized push. While improving consumption efficiency and optimizing the consumption experience, it also triggers alienation problems such as information cocoons, algorithmic discrimination, and privacy leaks, profoundly reshaping the logic of consumer behavior choices. Existing research mostly focuses on single dimensional effects or technological optimization, and the internal mechanism of the impact of algorithm recommendation big data on consumer behavior is not systematically decomposed, and the adaptability between regulatory paths and impact mechanisms is insufficient, making it difficult to cope with the new governance challenges brought about by algorithm technology iteration. Based on this, this article is based on the information cocoon theory, consumer decision-making theory, and multi-dimensional collaborative governance theory. It systematically analyzes the dual impact mechanism of algorithmic recommendation big data on consumer behavior choices, sorts out the current application chaos and regulatory shortcomings, and combines domestic and foreign governance experience to explore a scientific regulatory path for multi-dimensional collaboration. This study aims to enrich the theoretical achievements in the intersection of algorithm recommendation and consumer behavior, provide theoretical support and practical guidance for platforms to regulate algorithm behavior, regulatory authorities to improve governance systems, and consumers to safeguard their own rights and interests, and promote the healthy and orderly development of the digital consumption ecosystem.

Wen Wen. Research on the Impact Mechanism and Regulation of Algorithmic Recommendation Big Data on Consumer Behavior Choices. The Frontiers of Society, Science and Technology (2026), Vol. 8, Issue 1: 82-88. https://doi.org/10.25236/FSST.2026.080112.

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