A 2.2M-parameter Llama-style model using only item IDs beats a 7B-parameter text-based LLM recommender and SASRec on MovieLens-10M.
Tallrec: An effective and efficient tuning framework to align large language model with recommendation
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Architecture is All You Need: Improving LLM Recommenders by Dropping the Text
A 2.2M-parameter Llama-style model using only item IDs beats a 7B-parameter text-based LLM recommender and SASRec on MovieLens-10M.