Cover Image

Your Reviews Replicate You: LLM-Based Agents as Customer Digital Twins for Conjoint Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xuan, Bin, Hwang, Jungmin, Lee, Hakyeon
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

You Are What You Bought: Generating Customer Personas for E-commerce Applications
by: Shi, Yimin, et al.
Published: (2025)

Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)

Your Embedding Model is SMARTer Than You Think
by: Zhang, Jianrui, et al.
Published: (2026)

An LLM-Powered Agent for Real-Time Analysis of the Vietnamese IT Job Market
by: Nguyen, Minh-Thuan, et al.
Published: (2025)

Sustainable Digitalization of Business with Multi-Agent RAG and LLM
by: Arslan, Muhammad, et al.
Published: (2025)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors
by: Ergul, Halil Ibrahim, et al.
Published: (2025)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation
by: Yu, Qing, et al.
Published: (2025)

Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders
by: Chen, Hongzhuo, et al.
Published: (2026)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
by: Lee, Dohyeon, et al.
Published: (2025)

LLM-I2I: Boost Your Small Item2Item Recommendation Model with Large Language Model
by: Feng, Yinfu, et al.
Published: (2025)

AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
by: Yan, Yuwei, et al.
Published: (2025)

Continuum Memory Architectures for Long-Horizon LLM Agents
by: Logan, Joe
Published: (2026)

A Survey on LLM-powered Agents for Recommender Systems
by: Peng, Qiyao, et al.
Published: (2025)

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
by: Ma, Fengbo, et al.
Published: (2026)

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort
by: Gopalakrishnan, Sriram, et al.
Published: (2025)

AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
by: Yang, Mingdai, et al.
Published: (2025)

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
by: Liu, Jiahao, et al.
Published: (2025)

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
by: Kim, Jongyoon, et al.
Published: (2026)

OmniReview: A Large-scale Benchmark and LLM-enhanced Framework for Realistic Reviewer Recommendation
by: Huang, Yehua, et al.
Published: (2026)

LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
by: Assi, Maram, et al.
Published: (2024)

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)

MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation
by: Park, Jiin, et al.
Published: (2025)

SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
by: Shi, Xiaofeng, et al.
Published: (2025)

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
by: Kong, Xiaoyu, et al.
Published: (2024)

An Interactive Multi-Agent System for Evaluation of New Product Concepts
by: Xuan, Bin, et al.
Published: (2026)

EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents
by: Ye, Hengwei, et al.
Published: (2026)

CustomIR: Unsupervised Fine-Tuning of Dense Embeddings for Known Document Corpora
by: Paull, Nathan
Published: (2025)

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
by: Kim, Tongyoung, et al.
Published: (2025)

Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion
by: Li, Minghan, et al.
Published: (2026)

AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation
by: Bougie, Nicolas, et al.
Published: (2026)

PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
by: Yang, Ke, et al.
Published: (2026)

KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits
by: Long, Hou-Wan, et al.
Published: (2025)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)

Web Retrieval Agents for Evidence-Based Misinformation Detection
by: Tian, Jacob-Junqi, et al.
Published: (2024)

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
by: Lee, Jaehyun, et al.
Published: (2026)

EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents
by: Yun, Yuhui, et al.
Published: (2025)

An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation
by: Rostami, Ali
Published: (2025)