Image de couverture de livre

Beyond Utility: Evaluating LLM as Recommender

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Chumeng, Wang, Jiayin, Ma, Weizhi, Clarke, Charles L. A., Wang, Shuai, Wu, Chuhan, Zhang, Min
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Situation-aware Enhancer for Personalized Recommendation
par: Li, Jiayu, et autres
Publié: (2024)

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders
par: Wang, Jiayin, et autres
Publié: (2024)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
par: Wang, Zhefan, et autres
Publié: (2024)

Large Language Models as Evaluators for Recommendation Explanations
par: Zhang, Xiaoyu, et autres
Publié: (2024)

MACRec: a Multi-Agent Collaboration Framework for Recommendation
par: Wang, Zhefan, et autres
Publié: (2024)

APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
par: Yu, Yuanqing, et autres
Publié: (2026)

PerSRV: Personalized Sticker Retrieval with Vision-Language Model
par: Chee, Heng Er Metilda, et autres
Publié: (2024)

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations
par: Li, Jiayu, et autres
Publié: (2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
par: Wu, Zhuo, et autres
Publié: (2024)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
par: Shang, Yu, et autres
Publié: (2025)

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
par: Chee, Heng Er Metilda, et autres
Publié: (2025)

U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization
par: Chee, Heng Er Metilda, et autres
Publié: (2025)

Multimodal Pretraining and Generation for Recommendation: A Tutorial
par: Zhu, Jieming, et autres
Publié: (2024)

Intersectional Two-sided Fairness in Recommendation
par: Wang, Yifan, et autres
Publié: (2024)

ReChorus2.0: A Modular and Task-Flexible Recommendation Library
par: Li, Jiayu, et autres
Publié: (2024)

Sequential Recommendation with Latent Relations based on Large Language Model
par: Yang, Shenghao, et autres
Publié: (2024)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
par: Yang, Shenghao, et autres
Publié: (2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
par: Chen, Bo, et autres
Publié: (2024)

A Comparison of Methods for Evaluating Generative IR
par: Arabzadeh, Negar, et autres
Publié: (2024)

Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels
par: Arabzadeh, Negar, et autres
Publié: (2024)

Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
par: Zhang, Yi, et autres
Publié: (2025)

Preserving Privacy and Utility in LLM-Based Product Recommendations
par: Khezresmaeilzadeh, Tina, et autres
Publié: (2025)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
par: Li, Hanyu, et autres
Publié: (2024)

Human vs. Agent in Task-Oriented Conversations
par: Wang, Zhefan, et autres
Publié: (2025)

Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
par: Liu, Yuli, et autres
Publié: (2025)

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
par: Li, Jiayu, et autres
Publié: (2025)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
par: He, Zhiyu, et autres
Publié: (2025)

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
par: Shao, Yifan, et autres
Publié: (2025)

Annotative Indexing
par: Clarke, Charles L. A.
Publié: (2024)

Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
par: Wu, Yang, et autres
Publié: (2026)

Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers
par: Arabzadeh, Negar, et autres
Publié: (2024)

Benchmarking LLM-based Relevance Judgment Methods
par: Arabzadeh, Negar, et autres
Publié: (2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
par: Zhang, Wenlin, et autres
Publié: (2024)

Generative Information Retrieval Evaluation
par: Alaofi, Marwah, et autres
Publié: (2024)

LLM-based relevance assessment still can't replace human relevance assessment
par: Clarke, Charles L. A., et autres
Publié: (2024)

A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment
par: Arabzadeh, Negar, et autres
Publié: (2025)

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
par: Hou, Min, et autres
Publié: (2025)

An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
par: Liu, Hao, et autres
Publié: (2025)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
par: Chen, Jiaju, et autres
Publié: (2024)

Verifiable Reasoning for LLM-based Generative Recommendation
par: Lin, Xinyu, et autres
Publié: (2026)