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A Survey on Adversarial Recommender Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-030-01851-1_26openalex-snapshot
A Novel Personalized Citation Recommendation Approach Based on GAN
inferredcites →https://doi.org/10.1007/978-3-030-16145-3_33openalex-snapshot
A Minimax Game for Generative and Discriminative Sample Models for Recommendation
inferredcites →https://doi.org/10.1007/978-3-030-35166-3_34openalex-snapshot
Towards Effective Device-Aware Federated Learning
inferredcites →https://doi.org/10.1007/978-3-319-39937-9_21openalex-snapshot
An Approach for Clothing Recommendation Based on Multiple Image Attributes
inferredcites →https://doi.org/10.1007/s00530-019-00617-9openalex-snapshot
Fashion clothes matching scheme based on Siamese Network and AutoEncoder
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/s11257-019-09221-yopenalex-snapshot
Movie genome: alleviating new item cold start in movie recommendation
inferredcites →https://doi.org/10.1007/s11257-019-09256-1openalex-snapshot
Multistakeholder recommendation: Survey and research directions
inferredcites →https://doi.org/10.1007/s11280-018-0620-zopenalex-snapshot
Towards privacy preserving social recommendation under personalized privacy settings
inferredcites →https://doi.org/10.1007/s11390-020-0314-8openalex-snapshot
ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2018.10.024openalex-snapshot
APL: Adversarial Pairwise Learning for Recommender Systems
inferredcites →https://doi.org/10.1016/j.neucom.2014.08.081openalex-snapshot
Support vector machines under adversarial label contamination
inferredcites →https://doi.org/10.1109/access.2018.2805680openalex-snapshot
A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View
inferredcites →https://doi.org/10.1109/access.2018.2807385openalex-snapshot
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
inferredcites →https://doi.org/10.1109/access.2019.2905015openalex-snapshot
Recent Progress on Generative Adversarial Networks (GANs): A Survey
inferredcites →https://doi.org/10.1109/access.2019.2905876openalex-snapshot
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework
inferredcites →https://doi.org/10.1109/access.2019.2963316openalex-snapshot
Adversarial Training-Based Mean Bayesian Personalized Ranking for Recommender System
inferredcites →https://doi.org/10.1109/access.2020.2976491openalex-snapshot
Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding
inferredcites →https://doi.org/10.1109/bigcomp.2019.8679117openalex-snapshot
Scenery-Based Fashion Recommendation with Cross-Domain Geneartive Adverserial Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.265openalex-snapshot
Image Style Transfer Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00576openalex-snapshot
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv.2017.186openalex-snapshot
Be Your Own Prada: Fashion Synthesis with Structural Coherence
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icdew.2019.00-16openalex-snapshot
Collaborative Generative Adversarial Network for Recommendation Systems
inferredcites →https://doi.org/10.1109/icdh.2018.00040openalex-snapshot
From Recommendation to Generation: A Novel Fashion Clothing Advising Framework
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/icdmw.2018.00184openalex-snapshot
Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851727openalex-snapshot
RsyGAN: Generative Adversarial Network for Recommender Systems
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851822openalex-snapshot
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851869openalex-snapshot
LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851902openalex-snapshot
Adversarial Collaborative Auto-encoder for Top-N Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/msp.2017.2749125openalex-snapshot
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
inferredcites →https://doi.org/10.1109/sp.2016.41openalex-snapshot
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/tcyb.2019.2896766openalex-snapshot
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training
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.2018.2840974openalex-snapshot
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
inferredcites →https://doi.org/10.1109/tkde.2019.2893638openalex-snapshot
Adversarial Training Towards Robust Multimedia Recommender System
inferredcites →https://doi.org/10.1109/tmm.2015.2463226openalex-snapshot
Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation
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/tnnls.2019.2907430openalex-snapshot
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
inferredcites →https://doi.org/10.1109/wi.2018.00-96openalex-snapshot
Rating Prediction in Review-Based Recommendations via Adversarial Auto-Encoder
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/1718487.1718498openalex-snapshot
Pairwise interaction tensor factorization for personalized tag recommendation
inferredcites →https://doi.org/10.1145/1721654.1721677openalex-snapshot
Collaborative filtering with temporal dynamics
inferredcites →https://doi.org/10.1145/1864708.1864764openalex-snapshot
List-wise learning to rank with matrix factorization for collaborative filtering
inferredcites →https://doi.org/10.1145/1879141.1879193openalex-snapshot
The impact of YouTube recommendation system on video views
inferredcites →https://doi.org/10.1145/2043932.2043996openalex-snapshot
Precision-oriented evaluation of recommender systems
inferredcites →https://doi.org/10.1145/2348283openalex-snapshot
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
inferredcites →https://doi.org/10.1145/2556270openalex-snapshot
Collaborative Filtering beyond the User-Item Matrix
inferredcites →https://doi.org/10.1145/2783258.2789995openalex-snapshot
Web Personalization and Recommender Systems
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/3018661.3018689openalex-snapshot
Recurrent Recommender Networks
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3038912.3052580openalex-snapshot
Dynamic Key-Value Memory Networks for Knowledge Tracing
inferredcites →https://doi.org/10.1145/3132847.3132972openalex-snapshot
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information
inferredcites →https://doi.org/10.1145/3194770.3194776openalex-snapshot
Fairness definitions explained
inferredcites →https://doi.org/10.1145/3209978.3209981openalex-snapshot
Adversarial Personalized Ranking for Recommendation
inferredcites →https://doi.org/10.1145/3219819.3220004openalex-snapshot
Neural Memory Streaming Recommender Networks with Adversarial Training
inferredcites →https://doi.org/10.1145/3219819.3220046openalex-snapshot
A Unified Approach to Quantifying Algorithmic Unfairness
inferredcites →https://doi.org/10.1145/3240323.3240407openalex-snapshot
Audio-visual encoding of multimedia content for enhancing movie recommendations
inferredcites →https://doi.org/10.1145/3267471.3267476openalex-snapshot
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
inferredcites →https://doi.org/10.1145/3269206.3269264openalex-snapshot
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3281659openalex-snapshot
Adversarial Distillation for Efficient Recommendation with External Knowledge
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3292500.3330873openalex-snapshot
Enhancing Collaborative Filtering with Generative Augmentation
inferredcites →https://doi.org/10.1145/3298689.3346987openalex-snapshot
Adversarial tensor factorization for context-aware recommendation
inferredcites →https://doi.org/10.1145/3298689.3347031openalex-snapshot
Adversarial attacks on an oblivious recommender
inferredcites →https://doi.org/10.1145/3308558.3313412openalex-snapshot
Click Feedback-Aware Query Recommendation Using Adversarial Examples
inferredcites →https://doi.org/10.1145/3308558.3313413openalex-snapshot
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering
inferredcites →https://doi.org/10.1145/3308558.3313416openalex-snapshot
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
inferredcites →https://doi.org/10.1145/3308558.3313609openalex-snapshot
Adversarial Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/3308558.3313733openalex-snapshot
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
inferredcites →https://doi.org/10.1145/3331184.3331234openalex-snapshot
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
inferredcites →https://doi.org/10.1145/3331184.3331313openalex-snapshot
Adversarial Training for Review-Based Recommendations
inferredcites →https://doi.org/10.1145/3331184.3331321openalex-snapshot
Adversarial Collaborative Neural Network for Robust Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371832openalex-snapshot
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
inferredcites →https://doi.org/10.1145/3336191.3371841openalex-snapshot
Adversarial Learning to Compare
inferredcites →https://doi.org/10.1145/3336191.3371877openalex-snapshot
Adversarial Machine Learning in Recommender Systems (AML-RecSys)
inferredcites →https://doi.org/10.1145/3340531.3411884openalex-snapshot
Attacking Recommender Systems with Augmented User Profiles
inferredcites →https://doi.org/10.1145/3340531.3411917openalex-snapshot
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3357384.3357898openalex-snapshot
A Modular Adversarial Approach to Social Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380155openalex-snapshot
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
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/10.1145/3397271.3401046openalex-snapshot
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
inferredcites →https://doi.org/10.1145/3397271.3401087openalex-snapshot
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines
inferredcites →https://doi.org/10.1145/3397271.3401111openalex-snapshot
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
inferredcites →https://doi.org/10.1145/3397271.3401177openalex-snapshot
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
inferredcites →https://doi.org/10.1145/3397271.3401196openalex-snapshot
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401264openalex-snapshot
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation
inferredcites →https://doi.org/10.1145/3412841.3442010openalex-snapshot
How to put users in control of their data in federated top-N recommendation with learning to rank
inferredcites →https://doi.org/10.18653/v1/d19-1671openalex-snapshot
Neural News Recommendation with Multi-Head Self-Attention
inferredcites →https://doi.org/10.24963/ijcai.2018/511openalex-snapshot
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
inferredcites →https://doi.org/10.24963/ijcai.2019/187openalex-snapshot
Deep Adversarial Social Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/250openalex-snapshot
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism
inferredcites →https://doi.org/10.24963/ijcai.2019/537openalex-snapshot
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/584openalex-snapshot
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
inferredcites →https://doi.org/10.24963/ijcai.2020/264openalex-snapshot
Adversarial Oracular Seq2seq Learning for Sequential Recommendation
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1611.01046openalex-snapshot
Learning to Pivot with Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1705.10513openalex-snapshot
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.48550/arxiv.1905.01986openalex-snapshot
Beyond Personalization: Research Directions in Multistakeholder Recommendation
inferredcites →https://doi.org/10.5220/0007361204760482openalex-snapshot
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations
inferredcites →https://doi.org/10.5555/1390681.1390719openalex-snapshot
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
inferredcites →https://doi.org/10.5555/2779626.2779777openalex-snapshot
Support vector machines under adversarial label contamination
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Generative Artificial Intelligence for Social Good and Sustainable Development
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Shilling Attack Detection Method Integrating Item Temporal Information and Relational Networks
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A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems
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The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
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Towards Robust Recommender Systems via Triple Cooperative Defense
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Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems
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A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
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From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification
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Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
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Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
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Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
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AirTOWN: A Privacy-Preserving Mobile App for Real-Time Pollution-Aware POI Suggestion
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A Secure and Private Food Recommendation Framework Using Game-Theoretic Adversarial Learning
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Hodge-Based Methods for Contributor Quality Assessment in Crowdsourced Preferences
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Securing Preference Aggregation Systems Against Adversarial Manipulation via Geometric Flow Analysis
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Cybersecurity of the Low-Power Wide Area Networks (LPWAN)
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Graph Anomaly Detection Based on Dynamic Hypergraph Neural Network
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Quantum Computing and Generative Adversarial Networks (GANs): Navigating Ethical and Security Challenges
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Addressing Cold Start Challenges in Recommender Systems Using Generative Adversarial Networks with Auxiliary Information
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Clustering-Based Enhancement for Fake User Profiles Generation in Recommender Systems
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Robust Graph Recommendation via Noise-Aware Adversarial Perturbation
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Masked cross-attention and multi-head channel attention guiding single-stage generative adversarial networks for text-to-image generation
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RETRACTED ARTICLE: Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques
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GGADN: Guided generative adversarial dehazing network
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Recommender Systems in Cybersecurity
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An introduction to collaborative filtering through the lens of the Netflix Prize
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Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
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Navigating threats in federated recommender systems: a survey of attack models and defense strategies
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Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets
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Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses
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Adversarial examples: attacks and defences on medical deep learning systems
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A flexible framework for evaluating user and item fairness in recommender systems
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Fairness in recommender systems: research landscape and future directions
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Accuracy-enhanced E-commerce recommendation based on deep learning and locality-sensitive hashing
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Securing recommender system via cooperative training
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Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning
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Recent trends in recommender systems: a survey
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Robust visual recommendation via graph pairwise training
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Implicit optimal variational collaborative filtering
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RETRACTED ARTICLE: Enhanced personalized recommendation system for machine learning public datasets: generalized modeling, simulation, significant results and analysis
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A Comprehensive Review on Adversarial Attacks and Detection Techniques in Deep Learning Models for Image Analysis
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Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems
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Use of conditional generative adversarial networks to create demographic collaborative filtering datasets
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Addressing key challenges of adversarial attacks and defenses in the tabular domain: A methodological framework for coherence and consistency
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Large language model augmented joint learning framework for entity-relation extraction
inferred← citeshttps://doi.org/10.1016/j.comcom.2022.01.020openalex-snapshot
A survey on blockchain-based Recommender Systems: Integration architecture and taxonomy
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103264openalex-snapshot
An intelligent recommendation method based on multi-interest network and adversarial deep learning
inferred← citeshttps://doi.org/10.1016/j.cosrev.2021.100439openalex-snapshot
Blockchain-based recommender systems: Applications, challenges and future opportunities
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100616openalex-snapshot
Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
inferred← citeshttps://doi.org/10.1016/j.entcom.2024.100660openalex-snapshot
Construction of personalized recommendation model for educational video game resources based on knowledge graph
inferred← citeshttps://doi.org/10.1016/j.entcom.2024.100920openalex-snapshot
Design and evaluation of an English speaking recommender system using word networks and context-aware techniques
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118368openalex-snapshot
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123761openalex-snapshot
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132419openalex-snapshot
Shoot the arrow at the target: Personalized adversarial defense driven by dynamic rewards
inferred← citeshttps://doi.org/10.1016/j.fsidi.2023.301511openalex-snapshot
Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102208openalex-snapshot
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103919openalex-snapshot
Generative recommender systems: A comprehensive survey on model, framework, and application
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120834openalex-snapshot
Modeling item exposure and user satisfaction for debiased recommendation with causal inference
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102662openalex-snapshot
Explaining recommender systems fairness and accuracy through the lens of data characteristics
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102722openalex-snapshot
Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles
inferred← citeshttps://doi.org/10.1016/j.jisa.2021.103051openalex-snapshot
Fusing hypergraph spectral features for shilling attack detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.108058openalex-snapshot
Dual constraints and adversarial learning for fair recommenders
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109900openalex-snapshot
Learning compact yet accurate Generative Adversarial Networks for recommender systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110335openalex-snapshot
Deep reinforcement learning in recommender systems: A survey and new perspectives
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111016openalex-snapshot
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113181openalex-snapshot
Building robust deep recommender systems: Utilizing a weighted adversarial noise propagation framework with robust fine-tuning modules
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114963openalex-snapshot
From evaluation to detection: Advancing poisoning attack defense in recommender systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115450openalex-snapshot
Adversarial contrastive collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132510openalex-snapshot
Advances and challenges of multi-task learning method in recommender systems: A survey
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.107116openalex-snapshot
User preference interaction fusion and swap attention graph neural network for recommender system
inferred← citeshttps://doi.org/10.1016/j.osnem.2025.100315openalex-snapshot
A first principles approach to trust-based recommendation systems in social networks
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113758openalex-snapshot
DENOTER: Dual cascadEd iNformatiOn filTERing for robust sequential recommendation
inferred← citeshttps://doi.org/10.1038/s41598-022-20981-3openalex-snapshot
A link prediction method for MANETs based on fast spatio-temporal feature extraction and LSGANs
inferred← citeshttps://doi.org/10.1049/dgt2.70010openalex-snapshot
Future‐Proofing AI Models in IoMT Environment: Adversarial Dataset Generation and Defense Strategies
inferred← citeshttps://doi.org/10.1080/09540091.2022.2078280openalex-snapshot
Collaborative filtering recommendation using fusing criteria against shilling attacks
inferred← citeshttps://doi.org/10.1088/1742-6596/2814/1/012053openalex-snapshot
An adversarial network reinforcement method for power data time series generation based on knowledge transfer and Rayleigh differential privacy
inferred← citeshttps://doi.org/10.1093/bib/bbac458openalex-snapshot
Identification of drug-side effect association via restricted Boltzmann machines with penalized term
inferred← citeshttps://doi.org/10.1093/comjnl/bxad003openalex-snapshot
Detecting Group Shilling Attacks In Recommender Systems Based On User Multi-dimensional Features And Collusive Behaviour Analysis
inferred← citeshttps://doi.org/10.1098/rsta.2025.0126openalex-snapshot
Online safety by design: towards user-centric development of safer AI-based systems
inferred← citeshttps://doi.org/10.1109/access.2022.3201144openalex-snapshot
AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions
inferred← citeshttps://doi.org/10.1109/access.2023.3325753openalex-snapshot
The Employment Management for College Students Based on Deep Learning and Big Data
inferred← citeshttps://doi.org/10.1109/access.2024.3356357openalex-snapshot
Challenges and Opportunities of Text-Based Emotion Detection: A Survey
inferred← citeshttps://doi.org/10.1109/access.2024.3416962openalex-snapshot
Analysis of Recommender System Using Generative Artificial Intelligence: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678946openalex-snapshot
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?
inferred← citeshttps://doi.org/10.1109/asp-dac58780.2024.10473909openalex-snapshot
HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020712openalex-snapshot
Low-rank Defenses Against Adversarial Attacks in Recommender Systems
inferred← citeshttps://doi.org/10.1109/cicn59264.2023.10402339openalex-snapshot
Algorithm Design and Optimization of Data Mining Technology in Reader Service Recommendation System
inferred← citeshttps://doi.org/10.1109/dsins68311.2025.11329875openalex-snapshot
Text Adversarial Examples Attack and Defense Framework Based on Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/ic366947.2025.11290256openalex-snapshot
News Recommendation Using Sentence Embeddings and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00193openalex-snapshot
Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00082openalex-snapshot
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
inferred← citeshttps://doi.org/10.1109/icmiii62623.2024.00049openalex-snapshot
Research on the Design and Implementation of Generative Adversarial Network Attack Detection in Complex Network Environments
inferred← citeshttps://doi.org/10.1109/icsca57840.2023.10087713openalex-snapshot
An Exploratory Analysis of Effect of Adversarial Machine Learning Attack on IoT-enabled Industrial Control Systems
inferred← citeshttps://doi.org/10.1109/icssas57918.2023.10331818openalex-snapshot
Enhancing Intrusion Detection in Wireless Sensor Networks Using Deep Learning-Based K-Barriers Prediction
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650977openalex-snapshot
Adversarial Pairwise Multimodal Recommendation
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10218302openalex-snapshot
Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3487627openalex-snapshot
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
inferred← citeshttps://doi.org/10.1109/mwc.001.2100247openalex-snapshot
Deep Learning Powered Adversarial Sample Attack Approach for Security Detection of DGA Domain Name in Cyber Physical Systems
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3362271openalex-snapshot
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
inferred← citeshttps://doi.org/10.1109/raiie65740.2025.11140344openalex-snapshot
A Study on Enhancing the Reasoning Efficiency of Generative Recommender Systems Using Deep Model Compression
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659011openalex-snapshot
A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/tbdata.2023.3248626openalex-snapshot
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tcss.2024.3465008openalex-snapshot
Shilling Attacks and Fake Reviews Injection: Principles, Models, and Datasets
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3357987openalex-snapshot
Fooling the Image Dehazing Models by First Order Gradient
inferred← citeshttps://doi.org/10.1109/tifs.2021.3117078openalex-snapshot
Attacking Recommender Systems With Plausible Profile
inferred← citeshttps://doi.org/10.1109/tifs.2024.3420246openalex-snapshot
Metricizing the Euclidean Space Toward Desired Distance Relations in Point Clouds
inferred← citeshttps://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2024.3522763openalex-snapshot
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581553openalex-snapshot
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
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/10.1109/tkde.2026.3678755openalex-snapshot
ProitMTA: A Multi-Target Model Poisoning Attack Framework for Federated Recommendation Systems With Proxy Items
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3183210openalex-snapshot
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3569526openalex-snapshot
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tpami.2023.3274759openalex-snapshot
Influence-Driven Data Poisoning for Robust Recommender Systems
inferred← citeshttps://doi.org/10.1109/tr.2023.3303923openalex-snapshot
Focus-Shifting Attack: An Adversarial Attack That Retains Saliency Map Information and Manipulates Model Explanations
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3549400openalex-snapshot
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
inferred← citeshttps://doi.org/10.1109/tsusc.2024.3370837openalex-snapshot
A Robust and Privacy-Aware Federated Learning Framework for Non-Intrusive Load Monitoring
inferred← citeshttps://doi.org/10.1109/wimob66857.2025.11257522openalex-snapshot
Model-Agnostic Poisoning Attacks on Recommender Systems via PPO
inferred← citeshttps://doi.org/10.1142/s0218126625503475openalex-snapshot
An Adaptive Convolution Neural Network-Based Multimedia Generative Adversarial Learning Framework for Style Transfer of Movie Videos
inferred← citeshttps://doi.org/10.1142/s0218126625503931openalex-snapshot
Enhancing Music Course Learning Efficiency Using a GMF-MLP-Based Collaborative Filtering Recommendation Algorithm in Big Data Environments
inferred← citeshttps://doi.org/10.1142/s0219649224500060openalex-snapshot
Efficiency Improvisation of Large-Scale Knowledge Systems in Feature Determination using Proposed HVGAN Architecture
inferred← citeshttps://doi.org/10.1142/s2196888825500095openalex-snapshot
ProDef-MDS: A Proactive Defense Mechanism Protecting Malware Detection Systems from Adversarial Attacks
inferred← citeshttps://doi.org/10.1145/3404835.3462806openalex-snapshot
Towards Multi-Modal Conversational Information Seeking
inferred← citeshttps://doi.org/10.1145/3404835.3462848openalex-snapshot
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
inferred← citeshttps://doi.org/10.1145/3404835.3462914openalex-snapshot
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training
inferred← citeshttps://doi.org/10.1145/3459637.3482046openalex-snapshot
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
inferred← citeshttps://doi.org/10.1145/3460231.3478858openalex-snapshot
The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning
inferred← citeshttps://doi.org/10.1145/3466641openalex-snapshot
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation
inferred← citeshttps://doi.org/10.1145/3477495.3531820openalex-snapshot
Unlearning Protected User Attributes in Recommendations with Adversarial Training
inferred← citeshttps://doi.org/10.1145/3485447.3512257openalex-snapshot
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection
inferred← citeshttps://doi.org/10.1145/3511808.3557612openalex-snapshot
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid
inferred← citeshttps://doi.org/10.1145/3512728openalex-snapshot
Recommender systems under European AI regulations
inferred← citeshttps://doi.org/10.1145/3547330openalex-snapshot
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
inferred← citeshttps://doi.org/10.1145/3568954openalex-snapshot
On the User Behavior Leakage from Recommender System Exposure
inferred← citeshttps://doi.org/10.1145/3572834openalex-snapshot
On the Vulnerability of Graph Learning-based Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3576923openalex-snapshot
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models
inferred← citeshttps://doi.org/10.1145/3583780.3614927openalex-snapshot
Improving Adversarial Transferability via Frequency-based Stationary Point Search
inferred← citeshttps://doi.org/10.1145/3589334.3645403openalex-snapshot
Uplift Modeling for Target User Attacks on Recommender Systems
inferred← citeshttps://doi.org/10.1145/3589334.3645553openalex-snapshot
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
inferred← citeshttps://doi.org/10.1145/3605357openalex-snapshot
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability
inferred← citeshttps://doi.org/10.1145/3624733openalex-snapshot
A Review of Modern Fashion Recommender Systems
inferred← citeshttps://doi.org/10.1145/3627673.3679592openalex-snapshot
Adversarial Text Rewriting for Text-aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3637528.3671474openalex-snapshot
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
inferred← citeshttps://doi.org/10.1145/3637528.3671781openalex-snapshot
Natural Language Explainable Recommendation with Robustness Enhancement
inferred← citeshttps://doi.org/10.1145/3640457.3688116openalex-snapshot
Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training
inferred← citeshttps://doi.org/10.1145/3643685openalex-snapshot
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples
inferred← citeshttps://doi.org/10.1145/3652891openalex-snapshot
A Survey on Trustworthy Recommender Systems
inferred← citeshttps://doi.org/10.1145/3661996openalex-snapshot
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3664595openalex-snapshot
Creativity and Machine Learning: A Survey
inferred← citeshttps://doi.org/10.1145/3664928openalex-snapshot
Fairness and Diversity in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3665348.3665370openalex-snapshot
A Research on Shilling Attacks Based on Variational graph auto-encoders for Improving the Robustness of Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3677328openalex-snapshot
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
inferred← citeshttps://doi.org/10.1145/3696410.3714840openalex-snapshot
DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation
inferred← citeshttps://doi.org/10.1145/3698204.3716442openalex-snapshot
Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders
inferred← citeshttps://doi.org/10.1145/3699682.3728356openalex-snapshot
Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3700838.3703675openalex-snapshot
Detecting Adversarial Samples using Kernel Density Feature Extractor in Medical Image
inferred← citeshttps://doi.org/10.1145/3701741openalex-snapshot
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
inferred← citeshttps://doi.org/10.1145/3702249openalex-snapshot
Introduction to the Special Issue on Trustworthy Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748052openalex-snapshot
RecPS: Privacy Risk Scoring for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3708319.3733675openalex-snapshot
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
inferred← citeshttps://doi.org/10.1145/3711896.3736554openalex-snapshot
Diffusion Models for Recommender Systems: From Content Distribution To Content Creation
inferred← citeshttps://doi.org/10.1145/3721285openalex-snapshot
Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders
inferred← citeshttps://doi.org/10.1145/3725853openalex-snapshot
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
inferred← citeshttps://doi.org/10.1145/3743681openalex-snapshot
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
inferred← citeshttps://doi.org/10.1145/3746648openalex-snapshot
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
inferred← citeshttps://doi.org/10.1145/3757057openalex-snapshot
Robust Recommender System: A Survey and Future Directions
inferred← citeshttps://doi.org/10.1145/3773078.3831750openalex-snapshot
Composing Agents, Compounding Risks: A Tutorial on Robustness and Alignment in Multi-Agent Recommender Systems
inferred← citeshttps://doi.org/10.1145/3773078.3831782openalex-snapshot
From Side Information and Knowledge Graphs to Large Language Models: Two Decades of Knowledge Integration in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3785665openalex-snapshot
Adversarial Machine Learning in IoT Security: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1145/3801943openalex-snapshot
EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models
inferred← citeshttps://doi.org/10.1177/18724981241302803openalex-snapshot
Development status of high performance computing and its role in the construction of television animation sound recommendation System
inferred← citeshttps://doi.org/10.13016/m2ml9t-br45openalex-snapshot
RecPS: Privacy Risk Scoring for Recommender Systems
inferred← citeshttps://doi.org/10.1371/journal.pdig.0000864openalex-snapshot
AI-driven healthcare: A review on ensuring fairness and mitigating bias
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.0160610openalex-snapshot
Impact of Auxiliary Information in Generative Artificial Intelligence Models for Cross-Domain Recommender Systems
inferred← citeshttps://doi.org/10.1515/9783111354934-005openalex-snapshot
81Chapter 5 Enhancing entrepreneurship in Industry 5.0 through generative AI
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10375648/v1openalex-snapshot
Multi-Stage Alignment of Large Language Models for Popularity Bias Mitigation in Generative Movie Recommendation
inferred← citeshttps://doi.org/10.32473/flairs.v34i1.128443openalex-snapshot
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
inferred← citeshttps://doi.org/10.32604/cmc.2024.049780openalex-snapshot
Recommendation System Based on Perceptron and Graph Convolution Network
inferred← citeshttps://doi.org/10.3389/fdata.2023.1251072openalex-snapshot
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks
inferred← citeshttps://doi.org/10.3390/app15105461openalex-snapshot
DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms
inferred← citeshttps://doi.org/10.3390/electronics12081857openalex-snapshot
A Recommendation Algorithm Combining Local and Global Interest Features
inferred← citeshttps://doi.org/10.3390/info12010037openalex-snapshot
FSCR: A Deep Social Recommendation Model for Misleading Information
inferred← citeshttps://doi.org/10.3390/s21155248openalex-snapshot
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity
inferred← citeshttps://doi.org/10.4018/979-8-2600-1850-7.ch001openalex-snapshot
AI-Based Travel Intelligence Systems
inferred← citeshttps://doi.org/10.4018/979-8-3373-1657-4.ch007openalex-snapshot
Quantum Computing and Generative Adversarial Networks (GANs)
inferred← citeshttps://doi.org/10.4018/979-8-3373-7503-8.ch003openalex-snapshot
Mitigating Adversarial Attacks in Industrial Cybersecurity Through NLP Strategies for E-Commerce
inferred← citeshttps://doi.org/10.4018/979-8-3693-8939-3.ch003openalex-snapshot
Case Studies and Applications of Generative AI in Real-World Cybersecurity Scenarios
inferred← citeshttps://doi.org/10.48550/arxiv.2107.13876openalex-snapshot
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
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