Cover Image

Effectiveness of LLMs in Temporal User Profiling for Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sabouri, Milad, Mansoury, Masoud, Lin, Kun, Mobasher, Bamshad
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Towards Explainable Temporal User Profiling with LLMs
by: Sabouri, Milad, et al.
Published: (2025)

Using LLMs to Capture Users' Temporal Context for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)

Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
by: Lin, Kun, et al.
Published: (2024)

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits
by: Mansoury, Masoud, et al.
Published: (2024)

A Hybrid Recommendation Framework for Enhancing User Engagement in Local News
by: Pourashraf, Payam, et al.
Published: (2025)

A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)

Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems
by: Ahmadov, Parviz, et al.
Published: (2025)

Correcting Popularity Bias in Recommender Systems via Item Loss Equalization
by: Prent, Juno, et al.
Published: (2024)

From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems
by: Ahmadov, Parviz, et al.
Published: (2026)

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

LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
by: Zhou, Xiao, et al.
Published: (2025)

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

Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
by: Kalisvaart, Raoul, et al.
Published: (2025)

Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
by: Hasami, Arjan, et al.
Published: (2025)

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations
by: Xi, Yunjia, et al.
Published: (2026)

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)

Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling
by: Li, Qiang, et al.
Published: (2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
by: Xue, Jiawei, et al.
Published: (2025)

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
by: Lin, Guojiao, et al.
Published: (2024)

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

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
by: Wang, Hangyu, et al.
Published: (2024)

M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
by: Chen, Lining, et al.
Published: (2025)

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

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
by: Yang, Zhen, et al.
Published: (2025)

UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style
by: Kang, Yan, et al.
Published: (2024)

GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)

Give Users the Wheel: Towards Promptable Recommendation Paradigm
by: Lyu, Fuyuan, et al.
Published: (2026)

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
by: Zhang, Changshuo, et al.
Published: (2024)

GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2025)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
by: Huang, Chengkai, et al.
Published: (2024)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
by: Cai, Shihao, et al.
Published: (2024)

AlphaFree: Recommendation Free from Users, IDs, and GNNs
by: Jeon, Minseo, et al.
Published: (2026)

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024)

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
by: Hu, Zhaoyu, et al.
Published: (2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation
by: Xia, Yunwen, et al.
Published: (2024)

Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)