Cover Image

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Sunghwan, Seo, Kwangwook, Kim, Tongyoung, Yeo, Jinyoung, Lee, Dongha
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

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

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
by: Kim, Tongyoung, et al.
Published: (2024)

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
by: Kim, Sunghwan, et al.
Published: (2026)

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
by: Kim, Hyunseo, et al.
Published: (2025)

SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
by: Kim, Sunghwan, et al.
Published: (2026)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
by: Lee, Sangam, et al.
Published: (2024)

Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
by: Bernard, Nolwenn, et al.
Published: (2025)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)

UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems
by: Bernard, Nolwenn, et al.
Published: (2025)

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
by: Seo, Kwangwook, et al.
Published: (2024)

Identifying Breakdowns in Conversational Recommender Systems using User Simulation
by: Bernard, Nolwenn, et al.
Published: (2024)

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
by: Müller, Michael, et al.
Published: (2026)

Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
by: Li, Yuan-Chi, et al.
Published: (2026)

Personalized Federated Recommendation With Knowledge Guidance
by: Lim, Jaehyung, et al.
Published: (2025)

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
by: Ju, Hyunjun, et al.
Published: (2024)

Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
by: Kim, Deogyong, et al.
Published: (2026)

Snippet-based Conversational Recommender System
by: Sun, Haibo, et al.
Published: (2024)

What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems
by: Vlachou, Maria, et al.
Published: (2024)

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
by: Kim, Junyoung, et al.
Published: (2026)

Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)

Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
by: Yoon, Se-eun, et al.
Published: (2024)

Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders
by: Shams, Sulthana, et al.
Published: (2023)

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation
by: Xiang, Xingyuan, et al.
Published: (2026)

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
by: Kim, Seoyeon, et al.
Published: (2024)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)

Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
by: Wanyan, Xinye, et al.
Published: (2025)

Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)

Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)

HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation
by: Raj, Subham, et al.
Published: (2026)

Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
by: Hsu, Chih-Wei, et al.
Published: (2024)

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
by: Bougie, Nicolas, et al.
Published: (2025)

C$^3$: Capturing Consensus with Contrastive Learning in Group Recommendation
by: Kim, Soyoung, et al.
Published: (2025)

HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
by: Kim, Sangyeop, et al.
Published: (2025)

An In-depth Investigation of User Response Simulation for Conversational Search
by: Wang, Zhenduo, et al.
Published: (2023)

Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
by: Kim, Hyunwoo, et al.
Published: (2024)

Failure Prediction in Conversational Recommendation Systems
by: Vlachou, Maria
Published: (2025)

Modeling User Exploration Saturation: When Recommender Systems Should Stop Pushing Novelty
by: Ayiku, Enock O., et al.
Published: (2026)