Cover Image

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chuang, Su, Xing, He, Ming, Zhao, Hongke, Fan, Jianping, Li, Xiaomeng
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

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
by: Zhao, Chuang, et al.
Published: (2024)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
by: Xiang, Zhichen, et al.
Published: (2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
by: Li, Xinyu, et al.
Published: (2024)

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
by: Yang, Chaohua, et al.
Published: (2025)

Paragon: Parameter Generation for Controllable Multi-Task Recommendation
by: Shen, Chenglei, et al.
Published: (2024)

Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent
by: Xu, Yi, et al.
Published: (2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)

Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)

Personalized Multi-task Training for Recommender System
by: Yang, Liangwei, et al.
Published: (2024)

Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
by: Kang, Li, et al.
Published: (2025)

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
by: Hasan, Mahamudul
Published: (2024)

EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
by: Zhao, Jujia, et al.
Published: (2026)

Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
by: Shi, Teng, et al.
Published: (2025)

Sequence-level Semantic Representation Fusion for Recommender Systems
by: Xu, Lanling, et al.
Published: (2024)

Bridging Search and Recommendation through Latent Cross Reasoning
by: Shi, Teng, et al.
Published: (2025)

UnifiedRL: A Reinforcement Learning Algorithm Tailored for Multi-Task Fusion in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)

DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
by: Tian, Jiahao, et al.
Published: (2025)

Generative Reasoning Recommendation via LLMs
by: Hong, Minjie, et al.
Published: (2025)

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
by: Wei, Zhifu, et al.
Published: (2026)

Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
by: Wang, Minmao, et al.
Published: (2025)

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
by: Xin, Haoran, et al.
Published: (2025)

Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation
by: Liu, Qijiong, et al.
Published: (2024)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
by: Su, Liangcai, et al.
Published: (2023)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion
by: Wang, Wei, et al.
Published: (2024)

Content-Based Collaborative Generation for Recommender Systems
by: Wang, Yidan, et al.
Published: (2024)

A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
by: Liu, Xiaoyu, et al.
Published: (2025)

Collaborative Diffusion Model for Recommender System
by: Lee, Gyuseok, et al.
Published: (2025)

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
by: Liu, Langming, et al.
Published: (2024)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
by: Markowitz, Elan, et al.
Published: (2023)

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

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
by: Zheng, Bowen, et al.
Published: (2023)

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
by: Li, Fengxin, et al.
Published: (2024)

MemRec: Collaborative Memory-Augmented Agentic Recommender System
by: Chen, Weixin, et al.
Published: (2026)

Collaborative Large Language Model for Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2023)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)