基于教师画像的红色文化资源推荐研究

摘要：

针对高校思政教育中红色文化资源精准推荐需求，提出一种融合多维度教师画像与双聚合图卷积网络(dual aggregation relational graph convolutional network.DA-RGCN)的智能推荐框架.首先.通过分析教师的自然属性、授课对象特征及行为模式，构建了包含年龄、学历、地域、兴趣等多维标签的教师画像.其次，基于教师一资源交互数据构建二分图拓扑结构,设计了一种面向推荐任务的DA-RGCN.该模型通过邻域聚合与特征交互聚合机制，能够捕捉教师与资源间的高阶关联，实现精准的个性化推荐.实验结果表明，DA-RGCN在选取的指标上优于传统算法和链路预测算法.

To address the need for precise recommendation of red culture resources in ideological and political education in universities, this study proposes an intelligent recommendation framework integrating muli-dimensional teacher profiling and dual aggregation relational graph convolutional network(DA-RGCN). Firstly, by analyzing teachersnatural attributes, target audience characteristics, and behavioral patterns, we construct multi-dimensional teacher profiles containing age, educa-tional background, geographical region, interests, and other tags. Secondly, basing on teacher-resource interaction data, we build a bipartite graph topology and design a dual aggregation relational graph convolutional network (DA-RGCN) model for ecommendation tasks, Through neighborhood aggregation and feature interaction aggregation mechanisms, the model captures high-order correlations between teachers and resources to achieve accurate personalized recommendations. Experimental results demonstrate that DA-RGCN outperforms traditional algorithms and link prediction algorithms on selected metrics. This research provdes technical support for the deep integration of red culture resources with idological education courses, and the framework can be extended to intelligent recommendation scenarios for other educational resources.

作者：

刘行兵，曾祥祥，戴学微，韩盼，张恩

Liu Xingbing,Zeng Xiangxiang,Dai Xuewei,Han Pan,Zhang En

机构地区：

河南师范大学a.计算机与信息工程学院(人工智能学院)；b.智慧商务与物联网技术河南省工程实验室

引用本文：

刘行兵，曾祥祥,戴学微等。基于教师画像的红色文化资源推荐研究[J].河南师范大学学报(自然科学版)，2026,54(3):68-75.(Liu Xingbing, Zeng Xiangxiang, Dai Xuewei,et al. Research on the recommendation of red cultural resources based on teachers' portraits [J].Journal of Henan Normal University (Natural Science Edition),2026,54(3):68-75.DOI: 10.16366/j.cnki.1000-2367.2025.03.09.0001.)

基金：

国家自然科学基金；国家自然科学基金联合基金

关键词：

教师画像；红色文化资源；双聚合图卷积网络；个性化推荐；链路预测；协同过滤

eacher profile; red culture resources; cual-aggregation graph convolutional network; personalized recom-mendation; link prediction; collaborative filtering

分类号：

TP391

基于教师画像的红色文化资源推荐研究.pdf