Imagen de Portada

A Contrastive Framework with User, Item and Review Alignment for Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dong, Hoang V., Fang, Yuan, Lauw, Hady W.
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
por: Do, Jaime Hieu, et al.
Publicado: (2025)

A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
por: Zhai, Penglong, et al.
Publicado: (2025)

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

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

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

Sparse Contrastive Learning for Content-Based Cold Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2026)

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

Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
por: Liang, Jiahao, et al.
Publicado: (2025)

ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing
por: Wang, Yule, et al.
Publicado: (2021)

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

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

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

Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
por: Petrov, Aleksandr V., et al.
Publicado: (2025)

Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
por: Choi, Yijin, et al.
Publicado: (2025)

Item Association Factorization Mixed Markov Chains for Sequential Recommendation
por: Du, DongYu, et al.
Publicado: (2024)

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

HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
por: Chen, Junyi, et al.
Publicado: (2024)

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

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
por: Fang, Yi, et al.
Publicado: (2025)

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

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

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
por: Kook, Heejin, et al.
Publicado: (2025)

EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation
por: Li, Yihang, et al.
Publicado: (2026)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
por: Choi, Minjin, et al.
Publicado: (2025)

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

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

Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
por: Nguyen, Huy-Son, et al.
Publicado: (2024)

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

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

Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
por: Wang, Dong, et al.
Publicado: (2025)

Learnable Item Tokenization for Generative Recommendation
por: Wang, Wenjie, et al.
Publicado: (2024)

M-$LLM^3$REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
por: Chen, Lining, et al.
Publicado: (2025)

Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
por: Chen, Nuo, et al.
Publicado: (2025)

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

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
por: Zhang, Dong, et al.
Publicado: (2025)

Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
por: Tu, Yuchun, et al.
Publicado: (2026)

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

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

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

Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
por: Kalisvaart, Raoul, et al.
Publicado: (2025)