论推荐算法下个人信息的民法保护

The Civil Law Protection of Personal Information under Recommendation Algorithms

摘要: 推荐算法是一种利用用户和物品相关数据，通过特定的计算逻辑和模型，为用户筛选并提供可能感兴趣、符合其需求物品或内容的技术手段。个人信息是指以电子或者其他方式记录的能够单独或者与其他信息结合识别特定自然人的各种信息。国内对推荐算法下个人信息的民法保护问题的研究开始于互联网大数据时代，彼时各类互联网平台借助推荐算法为用户提供个性化服务，在这个过程中大量收集、使用用户个人信息，个人信息安全风险逐渐暴露，相关争议和纠纷不断涌现。随着此类现象愈发频繁，针对个人信息保护，我国出台了相应的专门法律予以回应，但是在保护力度和保护级别方面还不足够，基于此，本文将在研究国内外个人信息保护的现状基础上，进一步提出推荐算法下个人信息的民事保护建议。

Abstract: Recommendation algorithms are technical means that utilize user and item-related data, through specific computational logic and models, to screen and provide users with items or content that they may be interested in and that meet their needs. Personal information refers to all kinds of information that can identify a specific natural person either alone or in combination with other information, recorded in electronic or other forms. Research on the civil law protection of personal information under recommendation algorithms in China began in the era of Internet big data. At that time, various Internet platforms used recommendation algorithms to provide personalized services to users, during which they collected and used a large amount of user personal information, gradually exposing the risks to personal information security and leading to the continuous emergence of related disputes and conflicts. As such phenomena have become increasingly frequent, China has introduced corresponding specialized laws to address the protection of personal information. However, the protection intensity and level are still insufficient. Based on this, this article will, on the basis of studying the current situation of personal information protection at home and abroad, further propose suggestions for the civil protection of personal information under recommendation algorithms.