【摘要】 为破解传统馆藏服务重显性、轻潜性及精准化不足等问题，研究基于“智慧图书馆+专业教育”交叉视角，构建面向高校专业教学的智能图书推荐门户。通过设计“需求感知—资源匹配—情境适配”服务逻辑，融合知识图谱、用户画像与语义推荐技术，构建专业本体、图书元数据与时序画像三层语义模型；采用规则优先与算法校正混合策略，开发多模块推荐功能，并实施A/B测试与动态评估。系统上线后显著提升了借阅量、专业文献利用率与用户满意度。研究表明，该推荐机制突破了传统单向推送模式，为实现图书馆知识服务从“通用聚合”到“精准赋能”提供了实践路径。更多还原

【Abstract】 To address the limitations of traditional library services, such as overreliance on explicit resources and lack of precision, this study develops an intelligent bookrecommendation portal for university teaching scenarios from a “smart library+professional education” perspective. By designing the service logic of “demand perception-resource matching-context adaptation” and integrating knowledge graph, user portrait and semantic recommendation technologies, a three-layer semantic model consisting of professional ontology, book metadata and temporal portraits is constructed. A hybrid strategy of rule priority and algorithm correction is adopted to develop multi-module recommendation functions, and A/B testing and dynamic evaluation are implemented. After the system was put online, the borrowing volume, the utilization rate of professional documents and user satisfaction were significantly improved. The research shows that this recommendation mechanism breaks through the traditional one-way push mode and provides a practical path for realizing the transformation of library knowledge services from “general aggregation” to “precision empowerment”.更多还原