Cover Image

On Mitigating Data Sparsity in Conversational Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Sixiao, Liu, Mingrui, Long, Cheng, Yuan, Wei, Chen, Hongxu, Zhao, Xiangyu, Yin, Hongzhi
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

Data Watermarking for Sequential Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2024)

Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)

Watermarking Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2024)

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2026)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)

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

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
by: Li, Yicong, et al.
Published: (2024)

Sparser Training for On-Device Recommendation Systems
by: Qu, Yunke, et al.
Published: (2024)

Multi-agents based User Values Mining for Recommendation
by: Chen, Lijian, et al.
Published: (2025)

Continuous Input Embedding Size Search For Recommender Systems
by: Qu, Yunke, et al.
Published: (2023)

On-Device Recommender Systems: A Comprehensive Survey
by: Yin, Hongzhi, et al.
Published: (2024)

Federated Learning and Unlearning for Recommendation with Personalized Data Sharing
by: Qu, Liang, et al.
Published: (2026)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)

When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)

Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model
by: Zhong, Zhaofeng, et al.
Published: (2025)

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
by: Chen, Lijian, et al.
Published: (2023)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
by: Qu, Liang, et al.
Published: (2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation
by: Qu, Yunke, et al.
Published: (2024)

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
by: Qiao, Shutong, et al.
Published: (2024)

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

Budgeted Embedding Table For Recommender Systems
by: Qu, Yunke, et al.
Published: (2023)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
by: Zhang, Yi, et al.
Published: (2026)

Robust Federated Contrastive Recommender System against Model Poisoning Attack
by: Yuan, Wei, et al.
Published: (2024)

HMamba: Hyperbolic Mamba for Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
by: Zhao, Yuchuan, et al.
Published: (2026)

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
by: Yuan, Wei, et al.
Published: (2024)

Hide Your Model: A Parameter Transmission-free Federated Recommender System
by: Yuan, Wei, et al.
Published: (2023)

Challenging Low Homophily in Social Recommendation
by: Jiang, Wei, et al.
Published: (2024)

Automated Similarity Metric Generation for Recommendation
by: Qu, Liang, et al.
Published: (2024)

Cloud-Device Collaborative Agents for Sequential Recommendation
by: Long, Jing, et al.
Published: (2025)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
by: Yuan, Wei, et al.
Published: (2024)

A Survey on Sequential Recommendation
by: Pan, Liwei, et al.
Published: (2024)

Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
by: Zheng, Ruiqi, et al.
Published: (2024)

Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation
by: Qu, Liang, et al.
Published: (2025)

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
by: Zhang, Yi, et al.
Published: (2025)

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
by: Long, Jing, et al.
Published: (2024)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)