Copertina

Democratic Recommendation with User and Item Representatives Produced by Graph Condensation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Jiahao, Yang, Haoran, Zhao, Xiangyu, Yu, Zhiwen, Xu, Guandong, Wang, Wanyu, Yang, Kaixiang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation
di: Liang, Jiahao, et al.
Pubblicazione: (2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation
di: Li, Zihao, et al.
Pubblicazione: (2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
di: Xue, Jiawei, et al.
Pubblicazione: (2025)

DUET: Joint Exploration of User Item Profiles in Recommendation System
di: Chen, Yue, et al.
Pubblicazione: (2026)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
di: Xin, Haidong, et al.
Pubblicazione: (2025)

Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
di: Subbaraman, Nachiket, et al.
Pubblicazione: (2025)

Dataset Condensation for Recommendation
di: Wu, Jiahao, et al.
Pubblicazione: (2023)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
di: Li, Zihao, et al.
Pubblicazione: (2024)

Bootstrapping Conditional Retrieval for User-to-Item Recommendations
di: Lin, Hongtao, et al.
Pubblicazione: (2025)

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
di: Wu, Guowei, et al.
Pubblicazione: (2024)

Conditional Memory Enhanced Item Representation for Generative Recommendation
di: Liu, Ziwei, et al.
Pubblicazione: (2026)

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

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
di: Xu, Jinfeng, et al.
Pubblicazione: (2025)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
di: Zhang, Sheng, et al.
Pubblicazione: (2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
di: Li, Xiaopeng, et al.
Pubblicazione: (2024)

IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
di: Guo, Ziyuan, et al.
Pubblicazione: (2025)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
di: Zhang, Chunxu, et al.
Pubblicazione: (2023)

A Contrastive Framework with User, Item and Review Alignment for Recommendation
di: Dong, Hoang V., et al.
Pubblicazione: (2025)

A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
di: Malitesta, Daniele, et al.
Pubblicazione: (2024)

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
di: Du, Jing, et al.
Pubblicazione: (2024)

Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
di: Jiang, Runhao, et al.
Pubblicazione: (2026)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
di: Liu, Weiming, et al.
Pubblicazione: (2025)

Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions
di: Xiang, Yang, et al.
Pubblicazione: (2025)

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
di: Wang, Xinyuan, et al.
Pubblicazione: (2024)

Neural Causal Graph Collaborative Filtering
di: Wang, Xiangmeng, et al.
Pubblicazione: (2023)

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
di: Yang, Zhe, et al.
Pubblicazione: (2024)

Items Proxy Bridging: Enabling Frictionless Critiquing in Knowledge Graph Recommendations
di: Zhang, Huanyu, et al.
Pubblicazione: (2025)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
di: Bruun, Simone Borg, et al.
Pubblicazione: (2024)

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
di: Ma, Shouxing, et al.
Pubblicazione: (2025)

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
di: Xia, Yu, et al.
Pubblicazione: (2025)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
di: Luo, Haitong, et al.
Pubblicazione: (2024)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
di: Gao, Jingtong, et al.
Pubblicazione: (2024)

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

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

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
di: Peintner, Andreas, et al.
Pubblicazione: (2025)

Markovian Pre-Trained Transformer for Next-Item Recommendation
di: Xu, Cong, et al.
Pubblicazione: (2026)

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

RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
di: Rajapakse, Dilina Chandika, et al.
Pubblicazione: (2024)

POSIT: Promotion of Semantic Item Tail via Adversarial Learning
di: Xu, Qiuling, et al.
Pubblicazione: (2023)

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