Cover Image

Finetuning Large Language Model for Personalized Ranking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Zhuoxi, Wu, Ning, Cai, Fengyu, Zhu, Xinyi, Xiong, Yun
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

K-order Ranking Preference Optimization for Large Language Models
by: Cai, Shihao, et al.
Published: (2025)

Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)

TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders
by: Jiang, Yuchen, et al.
Published: (2026)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
by: Zhou, Yujia, et al.
Published: (2024)

Towards Large-scale Generative Ranking
by: Huang, Yanhua, et al.
Published: (2025)

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
by: Abdallah, Abdelrahman, et al.
Published: (2026)

A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
by: Tang, Ruiming, et al.
Published: (2025)

Harnessing Large Language Models for Text-Rich Sequential Recommendation
by: Zheng, Zhi, et al.
Published: (2024)

LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models
by: Yan, Yang, et al.
Published: (2024)

Exploring the Best Practices of Query Expansion with Large Language Models
by: Zhang, Le, et al.
Published: (2024)

Variational Bayesian Personalized Ranking
by: Liu, Bin, et al.
Published: (2025)

360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
by: Firooz, Hamed, et al.
Published: (2025)

A Two-Stage Adaptation of Large Language Models for Text Ranking
by: Zhang, Longhui, et al.
Published: (2023)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
by: Yan, Le, et al.
Published: (2024)

Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
by: Li, Jieran, et al.
Published: (2025)

Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)

A Zero-shot Explainable Doctor Ranking Framework with Large Language Models
by: Zeng, Ziyang, et al.
Published: (2025)

Uncovering Cross-Domain Recommendation Ability of Large Language Models
by: Liu, Xinyi, et al.
Published: (2025)

Revela: Dense Retriever Learning via Language Modeling
by: Cai, Fengyu, et al.
Published: (2025)

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking
by: Quan, Shigang, et al.
Published: (2025)

GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
by: Xu, Wei, et al.
Published: (2024)

Collaborative Large Language Model for Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2023)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
by: Wang, Yuan, et al.
Published: (2024)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, et al.
Published: (2025)

Addressing Personalized Bias for Unbiased Learning to Rank
by: Niu, Zechun, et al.
Published: (2025)

Unleashing the Power of Large Language Model for Denoising Recommendation
by: Wang, Shuyao, et al.
Published: (2025)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
by: Zhu, Xinyu, et al.
Published: (2024)

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

Synthetic Data Generation with Large Language Models for Personalized Community Question Answering
by: Braga, Marco, et al.
Published: (2024)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
by: Zhu, Jie, et al.
Published: (2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study
by: Liu, Qi, et al.
Published: (2024)

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
by: Jin, Can, et al.
Published: (2025)

Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens
by: Zhao, Zhen, et al.
Published: (2026)

Learning k-Determinantal Point Processes for Personalized Ranking
by: Liu, Yuli, et al.
Published: (2024)