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IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning

 A newly published study from the Institute of Electrical and Electronics Engineers (IEEE) presents a novel approach to improving the accuracy and robustness of recommender systems, using a combination of knowledge graph embedding, two-dimensional convolutional models, and contrastive learning. The research offers an effective solution to long-standing issues in personalization technologies, including data sparsity and the cold-start problem.The paper, titled “Research on the Application of Knowledge Graph-Driven Two-Dimensional Convolutional Embedding Methods in Recommender Systems”, was presented at the 2025 International...

Peng Dong

Peng Dong

https://scholar.google.com/citations?hl=en&user=9lstaOsAAAAJ