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Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering

arXiv — cs.LG•Friday, October 31, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new study introduces an innovative approach to recommender systems by utilizing Graph Attention Networks (GAT) combined with Large Language Model (LLM) driven context-aware embeddings. This advancement addresses common challenges like data sparsity and cold-start issues, enhancing the accuracy of suggestions for new or infrequent users. By generating concise user profiles and integrating item metadata, this framework promises to significantly improve user experience in digital platforms, making it a noteworthy development in the field of personalized recommendations.
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