Cover Image

Enhancing Recommendation Diversity by Re-ranking with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carraro, Diego, Bridge, Derek
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supplier Recommendation in Online Procurement
by: Coscrato, Victor, et al.
Published: (2024)

Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025)

Token-Controlled Re-ranking for Sequential Recommendation via LLMs
by: Dai, Wenxi, et al.
Published: (2025)

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)

Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation
by: Réda, Clémence, et al.
Published: (2026)

Re-ranking Based Diversification: A Unifying View
by: Parambath, Shameem A Puthiya
Published: (2019)

End-to-End Personalization: Unifying Recommender Systems with Large Language Models
by: Ebrat, Danial, et al.
Published: (2025)

Large Language Model as Universal Retriever in Industrial-Scale Recommender System
by: Jiang, Junguang, et al.
Published: (2025)

A Unified Language Model for Large Scale Search, Recommendation, and Reasoning
by: De Nadai, Marco, et al.
Published: (2026)

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
by: Liu, Yuting, et al.
Published: (2024)

Data Efficiency for Large Recommendation Models
by: Jain, Kshitij, et al.
Published: (2024)

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
by: Sharma, Amit, et al.
Published: (2024)

Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
by: Spadea, Fernando, et al.
Published: (2026)

Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
by: Bao, Shilong, et al.
Published: (2024)

Contrastive Learning for Diversity-Aware Product Recommendations in Retail
by: Karlis, Vasileios, et al.
Published: (2026)

Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity
by: Fan, Ziwei, et al.
Published: (2023)

Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)

Compute Only Once: UG-Separation for Efficient Large Recommendation Models
by: Lu, Hui, et al.
Published: (2026)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)

Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
by: Xu, Wei, et al.
Published: (2025)

Generative Recommendation for Large-Scale Advertising
by: Xue, Ben, et al.
Published: (2026)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)

Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models
by: Prakash, Arushi, et al.
Published: (2024)

Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
by: Shang, Hongwei, et al.
Published: (2025)

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
by: He, Ruining, et al.
Published: (2025)

ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
by: Park, Moonsoo, et al.
Published: (2026)

Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding
by: Boukhers, Zeyd, et al.
Published: (2024)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
by: Liu, Wenyi, et al.
Published: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
by: Li, Wuchao, et al.
Published: (2024)

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
by: Du, Yingpeng, et al.
Published: (2024)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)

A Metric for MLLM Alignment in Large-scale Recommendation
by: Zhang, Yubin, et al.
Published: (2025)