互联网平台滥用个性化算法推荐的反垄断问题研究

Research on the Antitrust Problem of Abuse of Personalized Algorithm Recommendation by Internet Platform

摘要: 数字革命正迎来一个以算法为核心的数据驱动时代，个性化算法推荐技术的逐渐成熟赋予了企业提供个性化商品和服务的能力，但也带来了反竞争效应。一方面，企业可以通过其实施“大数据杀熟”等剥削性行为直接损害用户利益；另一方面，互联网平台企业还可以通过实施限定交易等排他性行为提升自身竞争优势，损害竞争者利益。有鉴于此，应当采取构建算法问责体系，推动算法权力治理工具的建立并细化保障用户的退出权，以引导个性化算法推荐服务朝着有利于用户利益与促进互联网经济健康繁荣发展的方向发展。

Abstract: The digital revolution is ushering in a data-driven era with algorithm as the core. The gradual maturity of personalized algorithm recommendation technology gives enterprises the ability to provide personalized goods and services, but it also brings anti-competition effect. On the one hand, enterprises can directly harm the interests of users through exploitative behaviors such as “big data killing”. On the other hand, Internet platform enterprises can also enhance their competitive advantages and damage the interests of competitors by implementing exclusive behaviors such as restricted trading. In view of this, it is necessary to build an algorithm accountability system, promote the establishment of algorithm power governance tools and guarantee users’ opt-out rights in details, so as to guide personalized algorithm recommendation services to develop in a direction conducive to users’ interests and promote the healthy and prosperous development of Internet econ-omy.