On the public citation graph
Robust Recommender System: A Survey and Future Directions
0 signed · 97 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot
Content-based Recommender Systems: State of the Art and Trends
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_28openalex-snapshot
Robust Collaborative Recommendation
inferredcites →https://doi.org/10.1007/978-3-642-13287-2openalex-snapshot
Music Recommendation and Discovery
inferredcites →https://doi.org/10.1007/s10462-012-9364-9openalex-snapshot
Shilling attacks against recommender systems: a comprehensive survey
inferredcites →https://doi.org/10.1007/s10462-017-9539-5openalex-snapshot
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
inferredcites →https://doi.org/10.1007/s10462-020-09898-3openalex-snapshot
A survey of attack detection approaches in collaborative filtering recommender systems
inferredcites →https://doi.org/10.1007/s11042-012-1119-8openalex-snapshot
Preference-based user rating correction process for interactive recommendation systems
inferredcites →https://doi.org/10.1007/s11280-012-0164-6openalex-snapshot
Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system
inferredcites →https://doi.org/10.1007/s41109-021-00365-8openalex-snapshot
Selective network discovery via deep reinforcement learning on embedded spaces
inferredcites →https://doi.org/10.1016/j.asoc.2015.10.060openalex-snapshot
A fuzzy model for managing natural noise in recommender systems
inferredcites →https://doi.org/10.1016/j.comcom.2013.06.009openalex-snapshot
A survey of collaborative filtering based social recommender systems
inferredcites →https://doi.org/10.1016/j.dss.2013.01.020openalex-snapshot
βP : A novel approach to filter out malicious rating profiles from recommender systems
inferredcites →https://doi.org/10.1016/j.ipm.2018.04.008openalex-snapshot
News recommender systems – Survey and roads ahead
inferredcites →https://doi.org/10.1016/j.knosys.2014.04.020openalex-snapshot
HHT–SVM: An online method for detecting profile injection attacks in collaborative recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2014.12.011openalex-snapshot
Correcting noisy ratings in collaborative recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2016.02.008openalex-snapshot
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2016.11.021openalex-snapshot
Robust collaborative filtering based on non-negative matrix factorization and R 1 -norm
inferredcites →https://doi.org/10.1016/j.neucom.2015.12.137openalex-snapshot
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.052openalex-snapshot
Spotting anomalous ratings for rating systems by analyzing target users and items
inferredcites →https://doi.org/10.1016/j.xinn.2025.101038openalex-snapshot
The rising safety concerns of deep recommender systems
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2017.72openalex-snapshot
Two Decades of Recommender Systems at Amazon.com
inferredcites →https://doi.org/10.1109/msp.2017.2740965openalex-snapshot
The Robustness of Deep Networks: A Geometrical Perspective
inferredcites →https://doi.org/10.1109/tkde.2018.2805356openalex-snapshot
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
inferredcites →https://doi.org/10.1109/tkde.2019.2893638openalex-snapshot
Adversarial Training Towards Robust Multimedia Recommender System
inferredcites →https://doi.org/10.1109/tkde.2019.2960216openalex-snapshot
Statistically Robust Evaluation of Stream-Based Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2020.3024022openalex-snapshot
Deep Pairwise Hashing for Cold-start Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferredcites →https://doi.org/10.1109/tmm.2018.2887018openalex-snapshot
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnnls.2018.2886017openalex-snapshot
Adversarial Examples: Attacks and Defenses for Deep Learning
inferredcites →https://doi.org/10.1111/j.1469-8137.1912.tb05611.xopenalex-snapshot
THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE. 1
inferredcites →https://doi.org/10.1145/1278366.1278372openalex-snapshot
Toward trustworthy recommender systems
inferredcites →https://doi.org/10.1145/1390156.1390294openalex-snapshot
Extracting and composing robust features with denoising autoencoders
inferredcites →https://doi.org/10.1145/1536414.1536466openalex-snapshot
Differential privacy and robust statistics
inferredcites →https://doi.org/10.1145/1718487.1718498openalex-snapshot
Pairwise interaction tensor factorization for personalized tag recommendation
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/3178115openalex-snapshot
Deep Learning for Environmentally Robust Speech Recognition
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3336191.3371831openalex-snapshot
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
inferredcites →https://doi.org/10.1145/3383313.3411447openalex-snapshot
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code
inferredcites →https://doi.org/10.1145/3383313.3412243openalex-snapshot
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
inferredcites →https://doi.org/10.1145/3437963.3441757openalex-snapshot
A Black-Box Attack Model for Visually-Aware Recommender Systems
inferredcites →https://doi.org/10.1145/3437963.3441800openalex-snapshot
Denoising Implicit Feedback for Recommendation
inferredcites →https://doi.org/10.1145/3439729openalex-snapshot
A Survey on Adversarial Recommender Systems
inferredcites →https://doi.org/10.1145/3494672openalex-snapshot
A Review on Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3527449openalex-snapshot
Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives
inferredcites →https://doi.org/10.1145/3531146.3533090openalex-snapshot
It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3543846openalex-snapshot
Reinforcement Learning based Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3547333openalex-snapshot
A Survey on the Fairness of Recommender Systems
inferredcites →https://doi.org/10.1145/3551636openalex-snapshot
A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning
inferredcites →https://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3568396openalex-snapshot
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation
inferredcites →https://doi.org/10.1145/3577925openalex-snapshot
Self-Supervised Learning for Videos: A Survey
inferredcites →https://doi.org/10.1145/3626772.3657684openalex-snapshot
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation
inferredcites →https://doi.org/10.1145/3652891openalex-snapshot
A Survey on Trustworthy Recommender Systems
inferredcites →https://doi.org/10.1145/3701716.3717736openalex-snapshot
The 1st Workshop on Human-Centered Recommender Systems
inferredcites →https://doi.org/10.1287/ijoc.1100.0440openalex-snapshot
Shilling Attack Detection—A New Approach for a Trustworthy Recommender System
inferredcites →https://doi.org/10.1371/journal.pone.0130968openalex-snapshot
Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis
inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.339openalex-snapshot
Measure and Improve Robustness in NLP Models: A Survey
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-industry.75openalex-snapshot
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
inferredcites →https://doi.org/10.24963/ijcai.2023/258openalex-snapshot
Denoised Self-Augmented Learning for Social Recommendation
inferredcites →https://doi.org/10.3390/app11209608openalex-snapshot
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
inferredcites →https://doi.org/10.4304/jcp.7.1.226-234openalex-snapshot
A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_3openalex-snapshot
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation
inferred← citeshttps://doi.org/10.1007/s10462-026-11579-6openalex-snapshot
Navigating threats in federated recommender systems: a survey of attack models and defense strategies
inferred← citeshttps://doi.org/10.1007/s12525-026-00905-zopenalex-snapshot
Enhancing e-commerce recommendations: A mechanism to detect and mitigate spam reviews
inferred← citeshttps://doi.org/10.1007/s41060-026-01145-2openalex-snapshot
LUMR: leveraging user decision processes to model unknowns in recommendation system
inferred← citeshttps://doi.org/10.1038/s41598-026-56220-2openalex-snapshot
Integrating transformer-based credibility signals into neural collaborative filtering for fake review-aware recommendation
inferred← citeshttps://doi.org/10.1109/gcce65946.2025.11275190openalex-snapshot
Self-Supervised Contrastive Learning for Noise-Robust Recommender Systems
inferred← citeshttps://doi.org/10.1109/ieir67391.2025.11491035openalex-snapshot
A Polymorphic Homework System for Supporting Educational Management and Personalized Learning
inferred← citeshttps://doi.org/10.1109/smartiot70864.2026.00046openalex-snapshot
Spatio-Temporal Network Traffic Prediction Based on an Adaptive Topology Gating Mechanism
inferred← citeshttps://doi.org/10.1109/tcss.2025.3645943openalex-snapshot
A Novel Differentially Private Implicit Recommendation Algorithm Based on Gradient Perturbation Optimization
inferred← citeshttps://doi.org/10.1109/tkde.2025.3639434openalex-snapshot
Attacks and Detections in Recommender Systems: A Comprehensive Analysis for Models, Progresses, and Trends
inferred← citeshttps://doi.org/10.1145/3746252.3761267openalex-snapshot
Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3797026openalex-snapshot
Balancing Imperceptible and Aggressive Poisoning Attack for Recommender Systems: A Simple Multinomial Diffusion Model
inferred← citeshttps://doi.org/10.1145/3799914.3799921openalex-snapshot
Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025
inferred← citeshttps://doi.org/10.1145/3805689.3812352openalex-snapshot
With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems
inferred← citeshttps://doi.org/10.1145/3805712.3809597openalex-snapshot
Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
inferred← citeshttps://doi.org/10.1177/18758967251409840openalex-snapshot
Dual-Challenge Framework for Noise-Resilient and Temporally-Adaptive Recommender Systems
inferred← citeshttps://doi.org/10.32657/10356/175790openalex-snapshot
Towards trustworthy recommenders: building explainable and unbiased recommendation systems
inferred← citeshttps://doi.org/10.3389/fdata.2026.1911540openalex-snapshot
Reliability-aware ensemble recommendation for open-network commerce: a dual-metric framework for jointly evaluating ranking accuracy and serving correctness
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.