US EditionIEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
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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…
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