Content Intelligent Structured Processing Technology
BeanBook's recipe conversion system implements an intelligent process for handling web content. When a user enters a YouTube, blog or forum link, the system crawls the target content and applies natural language processing to extract key brewing parameters, including but not limited to:
- The proportion of water powder is accurate to 0.1g
- Temperature control range
- Brewing time point
- Apparatus Selection Recommendations
On the technical level, the system adopts the BERT model to understand the semantics of the content, extracts coffee related professional parameters through entity recognition, and then establishes logical associations between the parameters through relationship extraction. The generated guide will retain the 70-90% valid information of the original content, while supplementing the standardized operation step-by-step instructions.
This feature is particularly suited to handling expert brewing tutorials, and can convert spoken instructions in videos into clear quantitative metrics, lowering the learning threshold for users. The converted recipes are automatically matched with related coffee varieties to form a complete knowledge graph.
This answer comes from the articleBeanBook: an AI-powered coffee tracking and logging toolThe
