A survey on large language models for recommendation

L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin… - World Wide Web, 2024 - Springer
Abstract Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant attention in the …

How can recommender systems benefit from large language models: A survey

J Lin, X Dai, Y ** review
P Sweetser - Proceedings of the 6th ACM Conference on …, 2024 - dl.acm.org
Large language models (LLMs) hold interesting potential for the design, development, and
research of video games. Building on the decades of prior research on generative AI in …

Prompting large language models for recommender systems: A comprehensive framework and empirical analysis

L Xu, J Zhang, B Li, J Wang, M Cai, WX Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, large language models such as ChatGPT have showcased remarkable abilities in
solving general tasks, demonstrating the potential for applications in recommender systems …

Item-side fairness of large language model-based recommendation system

M Jiang, K Bao, J Zhang, W Wang, Z Yang… - Proceedings of the …, 2024 - dl.acm.org
Recommendation systems for Web content distribution intricately connect to the information
access and exposure opportunities for vulnerable populations. The emergence of Large …

Let me do it for you: Towards llm empowered recommendation via tool learning

Y Zhao, J Wu, X Wang, W Tang, D Wang… - Proceedings of the 47th …, 2024 - dl.acm.org
Conventional recommender systems (RSs) face challenges in precisely capturing users' fine-
grained preferences. Large language models (LLMs) have shown capabilities in …

Usable XAI: 10 strategies towards exploiting explainability in the LLM era

X Wu, H Zhao, Y Zhu, Y Shi, F Yang, T Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
Explainable AI (XAI) refers to techniques that provide human-understandable insights into
the workings of AI models. Recently, the focus of XAI is being extended towards Large …

Recranker: Instruction tuning large language model as ranker for top-k recommendation

S Luo, B He, H Zhao, W Shao, Y Qi, Y Huang… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have demonstrated remarkable capabilities and have been
extensively deployed across various domains, including recommender systems. Prior …