This is a paper list about LLM for Recommend System. It also contains some related research areas.
Keyword: Recommend System, LLM models, Large Language Model
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- Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect, arXiv, 2020, [paper]
- Self-Supervised Learning for Recommender Systems: A Survey ,arxiv 2022, [paper]
- Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems, arxiv 2022, [paper]
- Yelp[link]
- Petdata[link]
- M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining, CVPR 2022 [paper]
- Language Models as Recommender Systems: Evaluations and Limitations , NeurIPS 2021 Workshop ICBINB , [paper]
- CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models, [paper]
- Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) , Recsys 2022 , [paper])
- M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems ,arxiv 2022 , [paper]
- PTab: Using the Pre-trained Language Model for Modeling Tabular Data, arxiv 2022, [paper]
- Generative Recommendation: Towards Next-generation Recommender Paradigm, arxiv 2023, [paper]
- Prompt Learning for News Recommendation, SIGIR 2023, [paper]
- Is ChatGPT a Good Recommender? A Preliminary Study, arxiv 2023, [paper]
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent, arxiv 2023, [paper]
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By Xiangyang Li (xiangyangli@pku.edu.cn) from Peking University.