Cover Image

Aligning Recommendations with User Popularity Preferences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schirmer, Mona, Thielmann, Anton, Schwöbel, Pola, Martynec, Thomas, Di Benedetto, Giuseppe, London, Ben, Stein, Yannik
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
by: Xu, Jinfeng, et al.
Published: (2024)

MTRec: Learning to Align with User Preferences via Mental Reward Models
by: Zhao, Mengchen, et al.
Published: (2025)

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
by: Coppolillo, Erica, et al.
Published: (2024)

CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
by: Ko, Yunyong, et al.
Published: (2023)

Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
by: Sabouri, Milad, et al.
Published: (2025)

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation
by: Zha, Yongfu, et al.
Published: (2025)

Flexible Generation of Preference Data for Recommendation Analysis
by: Mungari, Simone, et al.
Published: (2024)

Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations
by: Coppolillo, Erica, et al.
Published: (2024)

Embedding Cultural Diversity in Prototype-based Recommender Systems
by: Moradi, Armin, et al.
Published: (2024)

Preference Diffusion for Recommendation
by: Liu, Shuo, et al.
Published: (2024)

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
by: Cheng, Xinghe, et al.
Published: (2025)

Modeling Churn in Recommender Systems with Aggregated Preferences
by: Keinan, Gur, et al.
Published: (2025)

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

Tree of Preferences for Diversified Recommendation
by: Yuan, Hanyang, et al.
Published: (2025)

Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
by: Sah, Chandan Kumar
Published: (2025)

Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System
by: Ain, Qurat Ul, et al.
Published: (2026)

Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
by: Di Palma, Dario, et al.
Published: (2026)

On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)

On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)

Enhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User Preferences
by: Najafabadi, Saeid Aghasoleymani, et al.
Published: (2025)

FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
by: Wang, Qiwei, et al.
Published: (2025)

Counterfactual Reciprocal Recommender Systems for User-to-User Matching
by: Kawamura, Kazuki, et al.
Published: (2025)

User-centric Music Recommendations
by: Castillo, Jaime Ramirez, et al.
Published: (2025)

LettinGo: Explore User Profile Generation for Recommendation System
by: Wang, Lu, et al.
Published: (2025)

DynamicPO: Dynamic Preference Optimization for Recommendation
by: Hu, Xingyu, et al.
Published: (2026)

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

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
by: Han, Xiao, et al.
Published: (2024)

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
by: Li, Lichi, et al.
Published: (2024)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
by: Rampisela, Theresia Veronika, et al.
Published: (2026)

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
by: Jiang, Hao, et al.
Published: (2025)

Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
by: Chen, Chen, et al.
Published: (2026)

Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
by: Jeon, Hyunsik, et al.
Published: (2023)

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

Effectiveness of LLMs in Temporal User Profiling for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)

Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations
by: Qiu, Zhangchi, et al.
Published: (2024)

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
by: Zhu, Bangguo, et al.
Published: (2026)

Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
by: Zhao, Chu, et al.
Published: (2026)