Cover Image

A Literature Review on Simulation in Conversational Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Haoran, Zhao, Xin, Chen, Jinze, Guo, Junpeng
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
by: Kostric, Ivica, et al.
Published: (2025)

Learning Outcomes, Assessment, and Evaluation in Educational Recommender Systems: A Systematic Review
by: Askarbekuly, Nursultan, et al.
Published: (2024)

Know Your Users! Estimating User Domain Knowledge in Conversational Recommenders
by: Kostric, Ivica, et al.
Published: (2025)

On Explaining Recommendations with Large Language Models: A Review
by: Said, Alan
Published: (2024)

Post-Userist Recommender Systems : A Manifesto
by: Burke, Robin, et al.
Published: (2024)

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
by: Wei, Tianjun, et al.
Published: (2025)

Impact of Tone-Aware Explanations in Recommender Systems
by: Okoso, Ayano, et al.
Published: (2024)

Early Explorations of Recommender Systems for Physical Activity and Well-being
by: Said, Alan
Published: (2025)

Filtering Discomforting Recommendations with Large Language Models
by: Liu, Jiahao, et al.
Published: (2024)

Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey
by: Li, Weiqing, et al.
Published: (2025)

Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition
by: Hui, Zheng, et al.
Published: (2025)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)

Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems
by: Son, Yeonbin, et al.
Published: (2025)

Recommending With, Not For: Co-Designing Recommender Systems for Social Good
by: Ekstrand, Michael D., et al.
Published: (2025)

Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
by: Wang, Mengyan, et al.
Published: (2024)

Large Language Models as Conversational Movie Recommenders: A User Study
by: Sun, Ruixuan, et al.
Published: (2024)

Blending Queries and Conversations: Understanding Tactics, Trust, Verification, and System Choice in Web Search and Chat Interactions
by: Mayerhofer, Kerstin, et al.
Published: (2025)

Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System
by: Guan, Zhitong, et al.
Published: (2025)

Explainability for Transparent Conversational Information-Seeking
by: Łajewska, Weronika, et al.
Published: (2024)

Towards Investigating Biases in Spoken Conversational Search
by: Cherumanal, Sachin Pathiyan, et al.
Published: (2024)

The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
by: Besbes, Omar, et al.
Published: (2024)

Beyond Centralization: User-Controlled Federated Recommendations in Practice
by: Slokom, Manel, et al.
Published: (2026)

INDIANA: Personalized Travel Recommendations Using Wearables and AI
by: Manos, Anastasios, et al.
Published: (2024)

Investigating Characteristics of Media Recommendation Solicitation in r/ifyoulikeblank
by: Bhuiyan, Md Momen, et al.
Published: (2024)

Improving Collaborative Filtering Recommendation via Graph Learning
by: Wang, Yongyu
Published: (2023)

IIRSim Studio: A Dashboard for User Simulation
by: Zerhoudi, Saber, et al.
Published: (2026)

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
by: Ji, Kaixin, et al.
Published: (2024)

Artificial Intelligence for Literature Reviews: Opportunities and Challenges
by: Bolanos, Francisco, et al.
Published: (2024)

Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
by: Buhayh, Anas, et al.
Published: (2025)

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
by: Degachi, Chadha, et al.
Published: (2025)

Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations
by: Ahmad, Juan, et al.
Published: (2025)

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

Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2024)

Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders
by: de Leon-Martinez, Santiago, et al.
Published: (2025)

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation
by: Kang, Daehee, et al.
Published: (2026)

Designing and Evaluating an Educational Recommender System with Different Levels of User Control
by: Ain, Qurat Ul, et al.
Published: (2025)

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
by: Houtti, Mo, et al.
Published: (2023)

A Novel Behavior-Based Recommendation System for E-commerce
by: Nozari, Reza Barzegar, et al.
Published: (2024)

UXSim: Towards a Hybrid User Search Simulation
by: Zerhoudi, Saber, et al.
Published: (2026)

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care
by: Yilma, Bereket A., et al.
Published: (2024)