ACL2024
RecGPT: Generative Pre-training for Text-based Recommendation
Hoang Ngo, Dat Quoc Nguyen
Abstract
We present the first domain-adapted and fullytrained large language model, RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for text-based recommendation. Experimental results on rating prediction and sequential recommendation tasks show that our model, RecGPT-7B-Instruct, outperforms previous strong baselines. We are releasing our RecGPT models as well as their pretraining and fine-tuning datasets to facilitate future research and downstream applications in text-based recommendation. Public "huggingface" links to our RecGPT models and datasets are available at: https://github. com/VinAIResearch/RecGPT .