One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems

20 February 2025

Papers citing "One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems"

8 / 8 papers shown

Title
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Yuying Zhao Xiaodong Yang Huiyuan Chen Xiran Fan Yu-Chiang Frank Wang Y. Cai Tyler Derr 15 0 0 03 May 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Chengkai Huang Hongtao Huang Tong Yu Kaige Xie Junda Wu Shuai Zhang Julian McAuley Dietmar Jannach Lina Yao LRM AI4CE 17 0 0 23 Apr 2025
CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation Junchen Fu Yongxin Ni J. Jose Ioannis Arapakis Kaiwen Zheng Y. Li Xuri Ge 16 0 0 14 Apr 2025
A Convex Formulation of Game-theoretic Hierarchical Routing Dong Ho Lee Kaitlyn Donnel Max Z. Li David Fridovich-Keil 48 0 0 18 Mar 2025
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers Lutfi Kerem Senel B. Fetahu Davis Yoshida Zhiyu Zoey Chen Giuseppe Castellucci Nikhita Vedula J. Choi S. Malmasi 20 3 0 07 Jun 2024
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation Tingjia Shen Hao Wang Jiaqing Zhang Sirui Zhao Liangyue Li Zulong Chen Defu Lian Enhong Chen LRM 52 14 0 05 Jun 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 24 21 0 23 Apr 2024
How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen ... Chenxu Zhu Huifeng Guo Yong Yu Ruiming Tang Weinan Zhang LRM 16 166 0 09 Jun 2023