Imagen de Portada

QAGCF: Graph Collaborative Filtering for Q&A Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Changshuo, Shi, Teng, Zhang, Xiao, Zheng, Yanping, Xie, Ruobing, Liu, Qi, Xu, Jun, Wen, Ji-Rong
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2024)

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

A Survey of Controllable Learning: Methods and Applications in Information Retrieval
por: Shen, Chenglei, et al.
Publicado: (2024)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
por: Shi, Teng, et al.
Publicado: (2025)

Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation
por: Sun, Wenqi, et al.
Publicado: (2024)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
por: Liu, Enze, et al.
Publicado: (2025)

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty
por: Li, Haoxuan, et al.
Publicado: (2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
por: Zhang, Kaike, et al.
Publicado: (2024)

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
por: Zhang, Changshuo, et al.
Publicado: (2024)

Unified Generative Search and Recommendation
por: Shi, Teng, et al.
Publicado: (2025)

Large Language Models Enhanced Collaborative Filtering
por: Sun, Zhongxiang, et al.
Publicado: (2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
por: Qin, Yifang, et al.
Publicado: (2024)

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
por: Xu, Chen, et al.
Publicado: (2023)

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

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

Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
por: Zheng, Bowen, et al.
Publicado: (2024)

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

Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information
por: He, Yunhang, et al.
Publicado: (2025)

Graph Neural Controlled Differential Equations For Collaborative Filtering
por: Xu, Ke, et al.
Publicado: (2025)

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

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
por: Wu, Wei, et al.
Publicado: (2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
por: Li, Hanyu, et al.
Publicado: (2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
por: Zhang, Yijie, et al.
Publicado: (2024)

ID-centric Pre-training for Recommendation
por: Wu, Yiqing, et al.
Publicado: (2024)

Graph Signal Diffusion Model for Collaborative Filtering
por: Zhu, Yunqin, et al.
Publicado: (2023)

Feedback Reciprocal Graph Collaborative Filtering
por: Chen, Weijun, et al.
Publicado: (2024)

Personalized Prompt for Sequential Recommendation
por: Wu, Yiqing, et al.
Publicado: (2022)

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

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning
por: He, Yunhang, et al.
Publicado: (2026)

Neural Causal Graph Collaborative Filtering
por: Wang, Xiangmeng, et al.
Publicado: (2023)

MixRec: Heterogeneous Graph Collaborative Filtering
por: Xia, Lianghao, et al.
Publicado: (2024)

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
por: Xu, Chen, et al.
Publicado: (2024)

Plug-in Diffusion Model for Sequential Recommendation
por: Ma, Haokai, et al.
Publicado: (2024)

How Powerful is Graph Filtering for Recommendation
por: Peng, Shaowen, et al.
Publicado: (2024)

Token-level Collaborative Alignment for LLM-based Generative Recommendation
por: Lin, Fake, et al.
Publicado: (2026)

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
por: Qu, Zekai, et al.
Publicado: (2024)

UniSAR: Modeling User Transition Behaviors between Search and Recommendation
por: Shi, Teng, et al.
Publicado: (2024)

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
por: Shen, Chenglei, et al.
Publicado: (2026)

Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
por: Zhang, Yi, et al.
Publicado: (2024)

A Survey on Causal Inference for Recommendation
por: Luo, Huishi, et al.
Publicado: (2023)