Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bojic, Ljubisa, Dodevska, Zorica, Deldjoo, Yashar, Pantelic, Nenad
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks Artificial Intelligence Computers and Society Human-Computer Interaction Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
by: Tourani, Ali, et al.
Published: (2025)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)

Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
by: Deldjoo, Yashar
Published: (2024)

A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024)

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)

Agentic AutoSurvey: Let LLMs Survey LLMs
by: Liu, Yixin, et al.
Published: (2025)

A Literature Review on Simulation in Conversational Recommender Systems
by: Zhang, Haoran, et al.
Published: (2025)

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

RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
by: de Leon-Martinez, Santiago, et al.
Published: (2025)

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
by: Maragheh, Reza Yousefi, et al.
Published: (2025)

CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)

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

BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs
by: Völker, Tom, et al.
Published: (2024)

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

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

A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)

Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation
by: Deldjoo, Yashar, et al.
Published: (2025)

Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance
by: Nagy, Akos, et al.
Published: (2025)

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

LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices
by: Serajeh, Neda Taghizadeh, et al.
Published: (2024)

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

Prediction of the Realisation of an Information Need: An EEG Study
by: McGuire, Niall, et al.
Published: (2024)

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)

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

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)
by: Wan, Ruyuan, et al.
Published: (2025)

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

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

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

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

Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
by: Manuel Enrique Puebla Martínez
Published: (2018)

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

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

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)

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

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

Know Your Users! Estimating User Domain Knowledge in Conversational Recommenders
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)

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