:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Lei, Huang, Xiaowen, Sang, Jitao, Yu, Jian
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2404.17844
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding the Information Cocoon: A Multidimensional Assessment and Analysis of News Recommendation Systems
by: Wang, Xin, et al.
Published: (2025)

ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
by: Liu, Zekun, et al.
Published: (2025)

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
by: Tang, Ming, et al.
Published: (2025)

When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps
by: Tang, Ming, et al.
Published: (2025)

Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm
by: Cuihong, Li, et al.
Published: (2025)

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

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

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

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
by: Zhang, Kaike, et al.
Published: (2024)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
by: Tan, Juntao, et al.
Published: (2023)

SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendation
by: Suzumura, Toyotaro, et al.
Published: (2025)

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks
by: Su, Jinyan, et al.
Published: (2024)

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

Robust Recommender System: A Survey and Future Directions
by: Zhang, Kaike, et al.
Published: (2023)

OmniReview: A Large-scale Benchmark and LLM-enhanced Framework for Realistic Reviewer Recommendation
by: Huang, Yehua, et al.
Published: (2026)

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
by: Wang, Fang, et al.
Published: (2025)

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
by: Li, Yuyuan, et al.
Published: (2025)

Personalized Denoising Implicit Feedback for Robust Recommender System
by: Zhang, Kaike, et al.
Published: (2025)

Towards Robustness Analysis of E-Commerce Ranking System
by: Wang, Ningfei, et al.
Published: (2024)

DIAURec: Dual-Intent Space Representation Optimization for Recommendation
by: Zhang, Yu, et al.
Published: (2026)

Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)

Fusion Self-supervised Learning for Recommendation
by: Zhang, Yu, et al.
Published: (2024)

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

Robust Explainable Recommendation
by: Vijayaraghavan, Sairamvinay, et al.
Published: (2024)

Identify Then Recommend: Towards Unsupervised Group Recommendation
by: Liu, Yue, et al.
Published: (2024)

Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE
by: Huang, Hejin, et al.
Published: (2026)

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
by: Zhang, Kaike, et al.
Published: (2025)

Distributionally Robust Graph-based Recommendation System
by: Wang, Bohao, et al.
Published: (2024)

Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
by: Zhong, Shanshan, et al.
Published: (2024)

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
by: Zhang, Kaike, et al.
Published: (2024)

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions
by: Hu, Xuming, et al.
Published: (2024)

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain
by: Amirshahi, Shakiba, et al.
Published: (2025)

Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026)

From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
by: Lu, Ziang, et al.
Published: (2026)

Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems
by: Khatami, Seyedeh Baharan, et al.
Published: (2025)

Robust Aggregation for Federated Sequential Recommendation with Sparse and Poisoned Data
by: Nguyen, Minh Hieu
Published: (2026)

Recall, Robustness, and Lexicographic Evaluation
by: Diaz, Fernando, et al.
Published: (2023)

Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024)