📄 中文摘要
构建一个 AI 工具比较平台并非简单的任务，尽管表面上看只需将功能并排展示。实际情况涉及到不断变化的产品、主观的质量评估以及用户特定的偏好。有效的架构设计是实现这一目标的关键。核心数据模型需要考虑工具的唯一标识、名称和分类等信息，以便于进行有效的比较和评分。此外，评分系统必须能够适应用户的不同需求和偏好，从而提供个性化的推荐。通过合理的数据架构和评分机制，可以更好地服务于用户，帮助他们选择合适的 AI 工具。
构建 AI 工具比较平台：数据架构与评分系统
📄 English Summary
Building an AI Tool Comparison Platform: Data Architecture and Scoring System
Building a comparison platform for AI tools is more complex than it appears, as it requires managing constantly changing products, subjective quality assessments, and user-specific preferences. An effective architecture is crucial for achieving this goal. The core data model must consider unique identifiers, names, and categories of tools to facilitate effective comparison and scoring. Additionally, the scoring system needs to adapt to diverse user needs and preferences, providing personalized recommendations. By implementing a well-structured data architecture and scoring mechanism, the platform can better serve users in selecting suitable AI tools.