Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …

Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component in our daily lives, providing …

Large language models are zero-shot rankers for recommender systems

Y Hou, J Zhang, Z Lin, H Lu, R Xie, J McAuley… - … on Information Retrieval, 2024 - Springer
Recently, large language models (LLMs)(eg, GPT-4) have demonstrated impressive general-
purpose task-solving abilities, including the potential to approach recommendation tasks …

Llara: Large language-recommendation assistant

J Liao, S Li, Z Yang, J Wu, Y Yuan, X Wang… - Proceedings of the 47th …, 2024 - dl.acm.org
Sequential recommendation aims to predict users' next interaction with items based on their
past engagement sequence. Recently, the advent of Large Language Models (LLMs) has …

[PDF][PDF] Natural language is all a graph needs

R Ye, C Zhang, R Wang, S Xu, Y Zhang - arXiv preprint arXiv …, 2023 - yongfeng.me
The emergence of large-scale pre-trained language models, such as ChatGPT, has
revolutionized various research fields in artificial intelligence. Transformersbased large …

Adapting large language models by integrating collaborative semantics for recommendation

B Zheng, Y Hou, H Lu, Y Chen, WX Zhao… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Recently, large language models (LLMs) have shown great potential in recommender
systems, either improving existing recommendation models or serving as the backbone …

Large language models for generative recommendation: A survey and visionary discussions

L Li, Y Zhang, D Liu, L Chen - arXiv preprint arXiv:2309.01157, 2023 - arxiv.org
Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …

Prompt distillation for efficient llm-based recommendation

L Li, Y Zhang, L Chen - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
Large language models (LLM) have manifested unparalleled modeling capability on various
tasks, eg, multi-step reasoning, but the input to these models is mostly limited to plain text …

A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian… - ACM Transactions on …, 2024 - dl.acm.org
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Vip5: Towards multimodal foundation models for recommendation

S Geng, J Tan, S Liu, Z Fu, Y Zhang - arXiv preprint arXiv:2305.14302, 2023 - arxiv.org
Computer Vision (CV), Natural Language Processing (NLP), and Recommender Systems
(RecSys) are three prominent AI applications that have traditionally developed …