Cover Image

SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suzumura, Toyotaro, Ikari, Hisashi, Kanezashi, Hiroki, Rahman, Md Mostafizur, Hirate, Yu
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

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
by: Chen, Junyi, et al.
Published: (2024)

Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping Settings
by: Xiao, Ziyin, et al.
Published: (2025)

NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
by: Azevedo, Igor L. R., et al.
Published: (2025)

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
by: Azevedo, Igor L. R., et al.
Published: (2024)

Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual
by: Azevedo, Igor L. R., et al.
Published: (2024)

GEFM: Graph-Enhanced EEG Foundation Model
by: Wang, Limin, et al.
Published: (2024)

Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
by: Suzumura, Toyotaro, et al.
Published: (2024)

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)

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

Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
by: Hasan, Alif Al, et al.
Published: (2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)

Position Bias Estimation with Item Embedding for Sparse Dataset
by: Ishikawa, Shion, et al.
Published: (2023)

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

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
by: Wan, Zhongwei, et al.
Published: (2022)

Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
by: Seshadri, Pavan, et al.
Published: (2024)

Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
by: Cheng, Lei, et al.
Published: (2024)

Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
by: Liao, Weibin, et al.
Published: (2024)

Equivariant Contrastive Learning for Sequential Recommendation
by: Zhou, Peilin, et al.
Published: (2022)

Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation
by: Wang, Xinhua, et al.
Published: (2023)

BIPCL: Bilateral Intent-Enhanced Sequential Recommendation via Embedding Perturbation Contrastive Learning
by: Zhang, Shanfan, et al.
Published: (2026)

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

Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)

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

Rethinking Contrastive Learning in Session-based Recommendation
by: Zhang, Xiaokun, et al.
Published: (2025)

Diffusion-based Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2024)

When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
by: Wang, Zongwei, et al.
Published: (2025)

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation
by: Zhou, Peilin, et al.
Published: (2024)

Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
by: Qu, Yuanpeng, et al.
Published: (2025)

Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)

Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2026)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)

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

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation
by: Wang, Jun, et al.
Published: (2024)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
by: Yu, Jiaheng, et al.
Published: (2024)

Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

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