Enhancing Recommendation Diversity by Re-ranking with Large Language Models

21 January 2024

Papers citing "Enhancing Recommendation Diversity by Re-ranking with Large Language Models"

8 / 8 papers shown

Title
In-context Ranking Preference Optimization Junda Wu Rohan Surana Zhouhang Xie Yiran Shen Yu Xia Tong Yu Ryan Rossi Prithviraj Ammanabrolu Julian McAuley 40 0 0 21 Apr 2025
Automating Personalization: Prompt Optimization for Recommendation Reranking Chen Wang Mingdai Yang Zhiwei Liu Pan Li Linsey Pang Qingsong Wen Philip S. Yu 31 0 0 04 Apr 2025
MUSS: Multilevel Subset Selection for Relevance and Diversity Vu Nguyen Andrey Kan 58 0 0 14 Mar 2025
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 Zhicheng Dou 85 18 0 17 Jan 2025
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders Yupeng Hou Zhankui He Julian McAuley Wayne Xin Zhao 68 125 0 22 Oct 2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter Xinyang Zhang Yury Malkov Omar U. Florez Serim Park Brian McWilliams Jiawei Han Ahmed El-Kishky VLM 61 90 0 15 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 298 1,610 0 18 Sep 2019