English

RecGPT: Generative Pre-training for Text-based Recommendation

Information Retrieval 2024-05-22 v1 Computation and Language

Abstract

We present the first domain-adapted and fully-trained 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 pre-training 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

Keywords

Cite

@article{arxiv.2405.12715,
  title  = {RecGPT: Generative Pre-training for Text-based Recommendation},
  author = {Hoang Ngo and Dat Quoc Nguyen},
  journal= {arXiv preprint arXiv:2405.12715},
  year   = {2024}
}

Comments

Accepted to the ACL 2024 main conference

R2 v1 2026-06-28T16:34:11.852Z