Zero-Shot Recommendations with Pre-Trained Large Language Models for
Multimodal Nudging

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Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging

2 September 2023

Rachel M. Harrison

Anton Dereventsov

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Papers citing "Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging"

18 / 18 papers shown

Title
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 166 17 0 17 Jan 2025
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 159 344 0 05 Jul 2023
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 137 220 0 09 Jun 2023
Large Language Models are Zero-Shot Rankers for Recommender Systems Yupeng Hou Junjie Zhang Zihan Lin Hongyu Lu Ruobing Xie Julian McAuley Wayne Xin Zhao LRM ALM 69 328 0 15 May 2023
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models Lei Wang Ee-Peng Lim LRM 60 57 0 06 Apr 2023
Multimodal Recommender Systems: A Survey Qidong Liu Jiaxi Hu Yutian Xiao Jingtong Gao Xiang Zhao 72 40 0 08 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 432 4,656 0 30 Jan 2023
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 53 1 0 12 Oct 2022
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 60 5 0 24 Dec 2021
Zero-Shot Recommender Systems Hao Ding Yifei Ma Anoop Deoras Bernie Wang Hao Wang VLM 46 94 0 18 May 2021
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 81 356 0 17 Nov 2020
Digital Nudging with Recommender Systems: Survey and Future Directions Mathias Jesse Dietmar Jannach 73 134 0 06 Nov 2020
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 115 183 0 11 Sep 2019
From Zero-Shot Learning to Cold-Start Recommendation Jingjing Li Mengmeng Jing Ke Lu Lei Zhu Yang Yang Zi Huang 47 149 0 20 Jun 2019
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising D. Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou OffRL 64 150 0 02 Aug 2018
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions Ali el Hassouni Mark Hoogendoorn M. V. Otterlo A. E. Eiben Vesa Muhonen E. Barbaro OffRL 36 20 0 10 Apr 2018
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions Feiyun Zhu Jun Guo Ruoyu Li Junzhou Huang OffRL 54 17 0 27 Feb 2018
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review I. Portugal Paulo S. C. Alencar Donald D. Cowan 136 612 0 17 Nov 2015