A from-scratch model that tokenizes items into hierarchical codes and predicts next-item codes reaches higher average zero-shot AUC on 8 datasets than LLM recommenders up to 7B parameters.
Brown, Benjamin Mann, Nick Ryder, and et al
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RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
A from-scratch model that tokenizes items into hierarchical codes and predicts next-item codes reaches higher average zero-shot AUC on 8 datasets than LLM recommenders up to 7B parameters.