Cover Image

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shijun, Yang, Wooseong, Wang, Yu, Wei, Tianxin, Ghosh, Joydeep
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
by: Li, Shijun, et al.
Published: (2024)

Item Cluster-aware Prompt Learning for Session-based Recommendation
by: Yang, Wooseong, et al.
Published: (2024)

Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)

Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification
by: Lin, Xiao, et al.
Published: (2026)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
by: Zhang, Weizhi, et al.
Published: (2025)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)

Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2024)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
by: Zhang, Jiang, et al.
Published: (2026)

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
by: Yang, Weiqin, et al.
Published: (2025)

NextMem: Towards Latent Factual Memory for LLM-based Agents
by: Zhang, Zeyu, et al.
Published: (2026)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)

CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
by: Yan, Cairong, et al.
Published: (2025)

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
by: Ai, Qingyao, et al.
Published: (2025)

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024)

LiMAML: Personalization of Deep Recommender Models via Meta Learning
by: Wang, Ruofan, et al.
Published: (2024)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
by: Bui, Tuan-Nghia, et al.
Published: (2024)

Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
by: Jha, Gopi Krishna, et al.
Published: (2023)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
by: Lei, Yongjia, et al.
Published: (2025)

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
by: Yuan, Kai, et al.
Published: (2026)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)

Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
by: Balloccu, Giacomo, et al.
Published: (2023)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025)

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
by: Fabbri, Francesco, et al.
Published: (2025)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Aligning Dense Retrievers with LLM Utility via Distillation
by: Sandhu, Rajinder, et al.
Published: (2026)

LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
by: Christakopoulou, Evangelia, et al.
Published: (2026)

Hgformer: Hyperbolic Graph Transformer for Recommendation
by: Yang, Xin, et al.
Published: (2024)

Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)

Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
by: Li, Jihang, et al.
Published: (2025)

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
by: Ma, Fengbo, et al.
Published: (2026)

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
by: Khani, Nikhil, et al.
Published: (2024)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders
by: Feng, Shuang, et al.
Published: (2024)

Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)