Cover Image

Retrieval Augmentation via User Interest Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Hanjia, Zeng, Hanqing, Xia, Yinglong, Chen, Ren, Luo, Jiebo
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)

Similar Users-Augmented Interest Network
by: Chen, Xiaolong, et al.
Published: (2026)

Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
by: Fan, Zhibo, et al.
Published: (2025)

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
by: Fan, Alin, et al.
Published: (2025)

User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)

Mixture of Weak & Strong Experts on Graphs
by: Zeng, Hanqing, et al.
Published: (2023)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
by: Du, Linfeng, et al.
Published: (2026)

SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
by: Lyu, Hanjia, et al.
Published: (2024)

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
by: Xu, Xiang, et al.
Published: (2024)

Revisiting General Map Search via Generative Point-of-Interest Retrieval
by: Chen, Dong, et al.
Published: (2026)

Interest Changes: Considering User Interest Life Cycle in Recommendation System
by: Cai, Yinjiang, et al.
Published: (2025)

Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction
by: Zhao, Qihang, et al.
Published: (2025)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
by: He, Zhiyu, et al.
Published: (2025)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
by: Zhao, Yuying, et al.
Published: (2024)

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

Temporal Interest Network for User Response Prediction
by: Zhou, Haolin, et al.
Published: (2023)

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

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)

Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
by: Zhu, Zulun, et al.
Published: (2025)

Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)

R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
by: Miao, Yuchen, et al.
Published: (2026)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
by: Kieu, Hai-Dang, et al.
Published: (2024)

Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)

Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
by: Pan, Hang, et al.
Published: (2024)

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
by: Zhang, Moyu, et al.
Published: (2025)

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

Capturing User Interests from Data Streams for Continual Sequential Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)

GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction
by: Ou, Kesha, et al.
Published: (2026)

SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering
by: Kang, Haoyu, et al.
Published: (2024)

DualGR: Generative Retrieval with Long and Short-Term Interests Modeling
by: Yi, Zhongchao, et al.
Published: (2025)

Augmenting Textual Generation via Topology Aware Retrieval
by: Wang, Yu, et al.
Published: (2024)

SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
by: Arustashvili, Mariam, et al.
Published: (2025)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
by: Li, Xiaodong, et al.
Published: (2026)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

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