A recommender system that converts item IDs into shared code tokens and fine-tunes Llama with alignment tasks plus negative sampling beats LC-Rec on three Amazon datasets by a few percent.
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Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
A recommender system that converts item IDs into shared code tokens and fine-tunes Llama with alignment tasks plus negative sampling beats LC-Rec on three Amazon datasets by a few percent.