Giuseppe Spillo
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Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings
Harnessing distributional semantics to build context-aware justifications for recommender systems
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations🏆
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules
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