Research Article
A Personalized Resource Recommendation Method for Laboratory-Integrated Civics Teaching Based on Multi-source Heterogeneous Information Fusion
@INPROCEEDINGS{10.1007/978-3-032-00303-4_16, author={Lina Ma}, title={A Personalized Resource Recommendation Method for Laboratory-Integrated Civics Teaching Based on Multi-source Heterogeneous Information Fusion}, proceedings={Advanced Hybrid Information Processing. 8th International Conference, ADHIP 2024, Jiaxing, China, September 20--22, 2024, Proceedings, Part III}, proceedings_a={ADHIP}, year={2026}, month={11}, keywords={Multi-source heterogeneity Information fusion Laboratory Civics teaching Personalization Resource recommendation}, doi={10.1007/978-3-032-00303-4_16} }- Lina Ma
Year: 2026
A Personalized Resource Recommendation Method for Laboratory-Integrated Civics Teaching Based on Multi-source Heterogeneous Information Fusion
ADHIP
Springer
DOI: 10.1007/978-3-032-00303-4_16
Abstract
A new personalized resource recommendation method is proposed for laboratory-integrated Civics teaching, utilizing multi-source heterogeneous information fusion. The process involves collecting and pre-processing data on Civics teaching resources in the laboratory, constructing an information fusion model to integrate information from various sources effectively, analyzing user characteristics based on data mining results, and designing a personalized resource recommendation scheme. Test results demonstrate that the proposed method significantly improves precision and recall rates of resource recommendation. This method ensures a strong alignment with Civic and Political Education resources, fosters students’ interest in Civics and Political Education courses, and achieves excellent recommendation outcomes.