Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks
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By providing personalized suggestions to users, recommender systems have become essential to numerous online platforms. Collaborative filtering, particularly graph-based approaches using Graph Neural Networks (GNNs), have demonstrated great results in terms of... ...
