A graph regularizer built from Sentence-BERT item similarities is added to recommender losses, improving reported NDCG and HR on MovieLens and Amazon, but the cold-start evaluation protocol is questionable.
Regularization and semi-supervised learning on large graphs
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Language-Model Prior Overcomes Cold-Start Items
A graph regularizer built from Sentence-BERT item similarities is added to recommender losses, improving reported NDCG and HR on MovieLens and Amazon, but the cold-start evaluation protocol is questionable.