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pro vyhledávání: '"Knezevic, Marta"'
The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge Graphs (KG) to train entity embeddings or Graph Neural Networks (GNNs).
Externí odkaz:
http://arxiv.org/abs/2406.07420
The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of le
Externí odkaz:
http://arxiv.org/abs/2312.10082