Cover Image

Enhancing Recommendation Explanations through User-Centric Refinement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jingsen, Tian, Zihang, Feng, Xueyang, Chen, Xu
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Recommendation with Simulated Human Feedback
by: Tang, Jiakai, et al.
Published: (2025)

Topic-Centric Explanations for News Recommendation
by: Liu, Dairui, et al.
Published: (2023)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
by: Müller, Michael, et al.
Published: (2026)

Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
by: Gong, Yaxin, et al.
Published: (2026)

The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service
by: Zhang, Luankang, et al.
Published: (2026)

A Survey on Data-Centric Recommender Systems
by: Lai, Riwei, et al.
Published: (2024)

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

Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
by: Li, Yuanzi, et al.
Published: (2026)

Enhancing User Intent for Recommendation Systems via Large Language Models
by: Xu, Xiaochuan, et al.
Published: (2025)

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
by: Wang, Yuyan, et al.
Published: (2025)

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

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
by: Lin, Jiacheng, et al.
Published: (2025)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
by: Wang, Zihan, et al.
Published: (2025)

PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)

TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
by: Yang, Yu, et al.
Published: (2025)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
by: Zhang, Zeyuan, et al.
Published: (2024)

Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)

FIRE: Faithful Interpretable Recommendation Explanations
by: Sani, S. M. F., et al.
Published: (2025)

FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
by: Chen, Fumian, et al.
Published: (2025)

MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
by: Dang, Yuzhuo, et al.
Published: (2025)

Interactive Recommendation Agent with Active User Commands
by: Tang, Jiakai, et al.
Published: (2025)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)

A Task-Centric Perspective on Recommendation Systems
by: Sun, Aixin
Published: (2025)

Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
by: Yuan, Wei, et al.
Published: (2026)

LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
by: Sun, Yuqi, et al.
Published: (2025)

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
by: Ma, Shouxing, et al.
Published: (2025)

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
by: Lan, Yu-Ting, et al.
Published: (2025)

A Serendipitous Recommendation System Considering User Curiosity
by: Xu, Zhelin, et al.
Published: (2025)

Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)

Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2025)

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

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)

Diffusion Model for Interest Refinement in Multi-Interest Recommendation
by: Le, Yankun, et al.
Published: (2025)

RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation
by: Pei, Haolei, et al.
Published: (2024)

A Study on Enhancing User Engagement by Employing Gamified Recommender Systems
by: Fallahi, Ali, et al.
Published: (2025)

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

Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
by: Hasan, Alif Al, et al.
Published: (2024)