Events2Join

A Survey on Large Language Models for Recommendation


A survey on large language model based autonomous agents

Recommender AI agent: integrating large language models for interactive recommendations. 2023, arXiv preprint arXiv: 2308.16505. Zhang C ...

Collaborative Large Language Model for Recommender Systems

(3) P5, a PLM-based recommendation model for both sequential recommendation and direct recommendation, is not included. The author(s) explain ...

A survey on large language model (LLM) security and privacy

This research was supported partly by the National Science Foundation award FMitF-2319242. Any opinions, findings, conclusions, or recommendations expressed are ...

Large Language Models for Recommendation: Progresses and ...

Lei Wang et al. “ User Behavior Simulation with Large Language Model based Agents" arXiv 2023. 72. • User simulation is a fundamental problem ...

A Survey of Generative Search and Recommendation in the Era of ...

A Survey of Generative Search and Recommendation in the Era of Large Language Models. Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, ...

A Survey of Generative Search and Recommendation in the Era of ...

Recently, the superintelligent generative large language models have sparked a new paradigm in search and recommendation, i.e., generative search (retrieval) ...

Item-side Fairness of Large Language Model-based ... - OUCI

2023 a. A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR , Vol. abs/2308.08434 (2023). Keqin Bao Jizhi Zhang ...

Leveraging Large Language Models for Recommendation and ...

Specifically, the application uses. ChatGPT as both a movie recommender and model for generating explanations of the recommendations. The ...

‪Yupeng Hou‬ - ‪Google Scholar‬

Recommendation as instruction following: A large language model empowered recommendation approach. J Zhang, R Xie, Y Hou, WX Zhao, L Lin, JR Wen. arXiv preprint ...

Towards Next-Generation LLM-based Recommender Systems

Towards Next-Generation LLM-based Recommender Systems: A Survey ... large language model-based recommendation systems and their industrial ...

Leveraging LLMs in Recommendation Systems - datascience.fm

The advent of Large Language Models (LLMs) in recommendation systems represents a fundamental shift in the way people engage with content ...

The application of large language models in medicine - Cell Press

The consequences of medical decisions far surpass those in other sectors, where a misdiagnosis or incorrect treatment recommendation could directly jeopardize a ...

Using Large Language Models for Recommendation Systems

Large language models like GPT-4 have the potential to revolutionize recommendation systems by enabling more accurate, nuanced, and personalized ...

A Survey of Large Language Models (LLMs) - Analytics Vidhya

They will use the massive amount of data they've learned to provide content and recommendations tailored to your preferences. For instance, when ...

Bias and Fairness in Large Language Models: A Survey

... recommendations for future work. We do not attempt to survey the abundance of work on algorithmic fairness more generally, or even bias in all language ...

Exploring the benefits of Large Language Models for ... - Shaped.ai

In the previous post we experimented with using LLMs as a recommendation systems. This showed promising results but wasn't without its ...

Large Language Models as Recommendation Systems in Museums

MAGICAL as a Recommendation System. MAGICAL (Museum AI Guide for Augmenting Cultural Heritage with Intelligent Language model) [12] is a system based on GPT-4 ...

Representing Users and Items in Large Language Models based ...

Some prior research has indicated that LLM-based recommenders can get better at in-domain recommendations by using ID features. However, a ...

Explaining Social Recommendations Using Large Language Models

To this end, we designed and developed a prototype of an. Advisor Recommender System, which integrates two content-based recommendation models - ...

Leveraging Large Language Models for Sequential Recommendation

Experiments on two datasets, including a real-world dataset from Delivery Hero, reveal that initializing a sequential model with LLM embeddings is particularly ...