Copertina

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gu, Hao, Zhong, Rui, Xia, Yu, Yang, Wei, Lu, Chi, Jiang, Peng, Gai, Kun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
di: Xia, Yu, et al.
Pubblicazione: (2025)

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
di: Yang, Wei, et al.
Pubblicazione: (2025)

R$^2$ec: Towards Large Recommender Models with Reasoning
di: You, Runyang, et al.
Pubblicazione: (2025)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
di: Gao, Jingtong, et al.
Pubblicazione: (2026)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
di: Xia, Yu, et al.
Pubblicazione: (2025)

DiffuReason: Bridging Latent Reasoning and Generative Refinement for Sequential Recommendation
di: Jiang, Jie, et al.
Pubblicazione: (2026)

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
di: Yang, Wei, et al.
Pubblicazione: (2026)

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
di: Yang, Yiqing, et al.
Pubblicazione: (2026)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
di: Xu, Xiaoxiao, et al.
Pubblicazione: (2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
di: Xue, Zhenghai, et al.
Pubblicazione: (2023)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
di: Li, Kaiyuan, et al.
Pubblicazione: (2025)

CHIME: A Compressive Framework for Holistic Interest Modeling
di: Bai, Yong, et al.
Pubblicazione: (2025)

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

Modeling User Fatigue for Sequential Recommendation
di: Li, Nian, et al.
Pubblicazione: (2024)

An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation
di: He, Tiantian, et al.
Pubblicazione: (2025)

Denoising Neural Reranker for Recommender Systems
di: Mao, Wenyu, et al.
Pubblicazione: (2025)

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

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
di: Xing, Haibo, et al.
Pubblicazione: (2025)

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
di: Zheng, Kai, et al.
Pubblicazione: (2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
di: Liu, Ziru, et al.
Pubblicazione: (2024)

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
di: Xia, Jiafeng, et al.
Pubblicazione: (2024)

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling
di: Xia, Tian, et al.
Pubblicazione: (2026)

Contemporary Recommendation Systems on Big Data and Their Applications: A Survey
di: Xia, Ziyuan, et al.
Pubblicazione: (2022)

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
di: Jia, Jian, et al.
Pubblicazione: (2025)

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
di: Su, Shuo, et al.
Pubblicazione: (2024)

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

ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
di: Jiang, Hao, et al.
Pubblicazione: (2025)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs
di: Wang, Yan, et al.
Pubblicazione: (2023)

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

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
di: Zhang, Zijian, et al.
Pubblicazione: (2024)

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
di: Han, Ruidong, et al.
Pubblicazione: (2024)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
di: Han, Mingzhe, et al.
Pubblicazione: (2025)

SRLF: An Agent-Driven Set-Wise Reflective Learning Framework for Sequential Recommendation
di: Wang, Jiahao, et al.
Pubblicazione: (2025)

Creator-Side Recommender System: Challenges, Designs, and Applications
di: Chen, Xiaoshuang, et al.
Pubblicazione: (2025)

MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System
di: Huang, Yusheng, et al.
Pubblicazione: (2026)

Verifiable Reasoning for LLM-based Generative Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2026)

Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation
di: Huang, Haofeng, et al.
Pubblicazione: (2025)

On Practical Diversified Recommendation with Controllable Category Diversity Framework
di: Zhang, Tao, et al.
Pubblicazione: (2024)

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
di: Han, Ruidong, et al.
Pubblicazione: (2025)

From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents
di: Liu, Jiahao, et al.
Pubblicazione: (2026)