Table 1 Comparison of existing educational resource recommendation methods.
From: Intelligent deep learning model for recommending ideological and political music education resources
Reference | Method | Key techniques | Strengths | Limitations | Contribution of this study |
|---|---|---|---|---|---|
Urdaneta-Ponte et al. (2021) | Systematic review | Literature synthesis | Comprehensive overview | Lack of specific model design | Provides theoretical foundation |
Machado et al. (2021) | Adaptive recommendation framework | Learner feature and context adaptation | Dynamic strategy adjustment | Limited multimodal data fusion | Integrates multi-modal red music features |
Tavakoli et al. (2022) | AI-based open recommendation | AI, open system | Extends scope beyond education | Generalized, not IPE specific | Focus on ideological and cultural embedding |
Okubo et al. (2022) | Adaptive learning support system | Historical data, behavior modeling | Precise resource delivery | Limited to behavioral data | Combines emotional rhythm and knowledge graph |
Raj and Renumol (2022) | Systematic review | Adaptive content recommenders | Review of architectures and applications | Limited empirical validation | Applies deep learning for IPE resources |
Fu et al. (2022) | Big data-based recommendation | Data mining and analytics | Large data handling | Sparse red music focus | Introduces red music cultural features |
Zhu (2023) | Adaptive genetic algorithm | Genetic algorithm | Efficient search | Narrow application domain | Optimizes red music feature extraction |
Xu and Chen (2023) | Targeted IPE recommendation system | Cognitive and cultural modeling | Customized IPE resource service | Lack of deep multimodal fusion | Integrates cross-modal deep learning |
Bhaskaran and Marappan (2023) | Dataset optimized recommendation | Modeling improvements | Accuracy and reliability boost | Not education-specific | Provides methodology support |
Gm et al. (2024) | Digital personalized recommendation | Systematic review | Multi-dimensional evaluation | Lack of IPE-specific focus | Guides red music IPE recommendation design |
