Cover Image

Post-Training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dervishaj, Ervin, Maistro, Maria, Ruotsalo, Tuukka, Lioma, Christina
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study
by: Dervishaj, Ervin, et al.
Published: (2025)

Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier
by: Rampisela, Theresia Veronika, et al.
Published: (2025)

Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance
by: Rampisela, Theresia Veronika, et al.
Published: (2024)

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
by: Rampisela, Theresia Veronika, et al.
Published: (2023)

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

The Quest for Reliable Metrics of Responsible AI
by: Rampisela, Theresia Veronika, et al.
Published: (2025)

Stairway to Fairness: Connecting Group and Individual Fairness
by: Rampisela, Theresia Veronika, et al.
Published: (2025)

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain
by: Bruun, Simone Borg, et al.
Published: (2024)

Graph-based Recommendation for Sparse and Heterogeneous User Interactions
by: Bruun, Simone Borg, et al.
Published: (2023)

Query Augmentation by Decoding Semantics from Brain Signals
by: Ye, Ziyi, et al.
Published: (2024)

As easy as PIE: understanding when pruning causes language models to disagree
by: Tropeano, Pietro, et al.
Published: (2025)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
by: Bruun, Simone Borg, et al.
Published: (2024)

Can Fairness Be Prompted? Prompt-Based Debiasing Strategies in High-Stakes Recommendations
by: Rotar, Mihaela, et al.
Published: (2026)

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

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
by: Xia, Yu, et al.
Published: (2025)

Dual-domain Collaborative Denoising for Social Recommendation
by: Chen, Wenjie, et al.
Published: (2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
by: Luo, Yucong, et al.
Published: (2024)

End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024)

QAGCF: Graph Collaborative Filtering for Q&A Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
by: Zhang, Kaike, et al.
Published: (2024)

Collaborative User Prompt for Personalized Generative Recommendation
by: Ramos, Jerome, et al.
Published: (2024)

Deep Rating Elicitation for New Users in Collaborative Filtering
by: Kweon, Wonbin, et al.
Published: (2024)

Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems
by: de Campos, Luis M., et al.
Published: (2024)

Denoised Recommendation Model with Collaborative Signal Decoupling
by: Li, Zefeng, et al.
Published: (2025)

DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
by: Wei, Zhuoxing, et al.
Published: (2025)

Recommendations by Concise User Profiles from Review Text
by: Torbati, Ghazaleh Haratinezhad, et al.
Published: (2023)

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
by: Baek, Ilwoong, et al.
Published: (2025)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
by: Li, Hanyu, et al.
Published: (2024)

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
by: Hasan, Mahamudul
Published: (2024)

DUET: Joint Exploration of User Item Profiles in Recommendation System
by: Chen, Yue, et al.
Published: (2026)

Multi-Scenario User Profile Construction via Recommendation Lists
by: Zhang, Hui, et al.
Published: (2026)

Transparent and Scrutable Recommendations Using Natural Language User Profiles
by: Ramos, Jerome, et al.
Published: (2024)

Post-Training Attribute Unlearning in Recommender Systems
by: Chen, Chaochao, et al.
Published: (2024)

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration
by: Zhang, Chi, et al.
Published: (2026)

Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
by: Bobadilla, Jesús, et al.
Published: (2024)

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
by: Wu, Wei, et al.
Published: (2024)

Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System
by: Hasan, Mahamudul, et al.
Published: (2024)

Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
by: Sun, Aixin
Published: (2024)

Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering
by: Islam, Md Aminul, et al.
Published: (2025)

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