一种基于人工智能的图书数据处理与智能服务系统
By employing multimodal data processing and dynamic weighted hybrid retrieval techniques, combined with a structured knowledge enhancement generation mechanism, the bottlenecks in semantic understanding and resource consumption of the book knowledge base system have been resolved, enabling efficient and accurate book information processing and intelligent services.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEBEI UNIVERSITY
- Filing Date
- 2025-05-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing book knowledge base systems have bottlenecks in semantic understanding and precise term matching, making it difficult to handle complex query scenarios. Furthermore, the resource consumption and computational efficiency are mismatched, resulting in low retrieval efficiency, inaccurate generated content, and difficulty in meeting real-time response requirements.
Employing multimodal data processing, dynamic weighted hybrid retrieval, and structured knowledge enhancement generation mechanisms, and utilizing multi-format document processing modules, hybrid retrieval modules, vector database modules, and RAG generation engine modules, this system enables automated management of book resources, high-precision semantic retrieval, and intelligent knowledge services.
It significantly improves the efficiency of book information processing and the quality of generated content, enhances the accuracy and consistency of search results, reduces hardware costs, supports real-time response and dynamic updates of hundreds of millions of data points, and is suitable for smart libraries, knowledge Q&A, and personalized recommendations.
Smart Images
Figure CN120653760B_ABST