电商平台算法取中的多维考量与优化路径研究

Study on Multi-Dimensional Considerations and Optimization Paths of Algorithm Balance in E-Commerce Platforms

摘要: 在我国数字经济蓬勃发展的背景下，算法推荐已成为电商平台的核心驱动力，但其效率至上的导向引发了侵害消费者权益、破坏商家良性竞争、累积平台长期风险及冲击社会价值观等多重问题。为此，算法取中理念应运而生，强调在算法全流程中动态平衡多维度价值目标。本文构建了价值维度、主体维度、操作维度的算法取中多维考量体系，价值维度涵盖公平性、效率性与多样性，主体维度兼顾用户、商家、平台及社会公共利益，操作维度以可解释性和可控性为核心支撑。在此基础上，从技术层、机制层、协同治理层提出优化路径，技术上构建多目标优化框架并引入机器学习与可解释AI工具；机制上建立分层次信息披露机制、常态化评估与人工干预通道，优化商家赋能与流量分配机制；协同治理层面强化平台自律、推动政府精准监管、鼓励社会多方监督。研究旨在为电商平台算法优化提供思路，助力构建公平多元、可持续发展的平台生态，促进电商行业规范健康发展。

Abstract: Against the backdrop of the vigorous development of China’s digital economy, algorithm recommend-dation has become the core driving force of e-commerce platforms. However, its focus on prioritizing efficiency has caused multiple problems. These include infringing on consumers’ rights and interests, disrupting the healthy competition among merchants, accumulating long-term risks for platforms, and impacting social values. To address these issues, the concept of “algorithm balance” has emerged. It emphasizes dynamically balancing multi-dimensional value goals throughout the entire process of the algorithm. This paper establishes a multi-dimensional consideration system for algorithm balance, which consists of three dimensions: value, subject, and operation. The value dimension covers fairness, efficiency, and diversity. The subject dimension takes into account the interests of users, merchants, platforms, and public social interests. The operation dimension is supported by two core elements: interpretability and controllability. Based on this system, the paper proposes optimization paths from three levels: technology, mechanism, and collaborative governance. At the technical level, it suggests building a multi-objective optimization framework and introducing machine learning and interpretable AI tools. At the mechanism level, it calls for establishing a hierarchical information disclosure mechanism, a regular evaluation and manual intervention channel, and optimizing the mechanisms for merchant empowerment and traffic allocation. At the collaborative governance level, it advocates strengthening platform self-discipline, promoting precise government supervision, and encouraging multi-party social supervision. The purpose of this research is to provide ideas for the algorithm optimization of e-commerce platforms, help build a fair, diverse, and sustainable platform ecosystem, and promote the standardized and healthy development of the e-commerce industry.