The Dilemma and Relief of Anti-monopoly Regulation in Personalized Pricing Algorithms

In the era of big data, online platforms utilizing algorithms for personalized pricing pose monopoly risks that harm competition, and contradict the economic market concepts of consumer protection and encouraging innovation. China's anti-monopoly laws face difficulties in defining relevant markets, and law enforcement agencies are at a loss when identifying abuse of market dominance. The defense rights originally granted to platforms by the law have been abused. In view of this, this paper proposes to establish an evaluation system for competition damage based on consumer protection, specifying the considerations for justifying damage, and suggests using user engagement intensity and activity level as statistical indicators, incorporating the influence of algorithmic computing power, and employing a relative market share assessment method as a determinant factor for judging market dominance.