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Adversarial Learning for Cross Domain Recommendations

https://doi.org/10.1145/3548776
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_27openalex-snapshot
Cross-Domain Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-030-15719-7_3openalex-snapshot
Cross-Domain Recommendation via Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-06028-6_72openalex-snapshot
Cross-Domain Collaborative Filtering with Factorization Machines
inferredcites →https://doi.org/10.1007/978-3-642-40991-2_11openalex-snapshot
Cross-Domain Recommendation via Cluster-Level Latent Factor Model
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/10.1016/0893-6080(89)90020-8openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/j.ins.2021.02.009openalex-snapshot
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2018.01.003openalex-snapshot
Dual-regularized matrix factorization with deep neural networks for recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2021.106948openalex-snapshot
Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations
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/bigdata47090.2019.9006266openalex-snapshot
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-snapshot
Cross-Stitch Networks for Multi-task Learning
inferredcites →https://doi.org/10.1109/icdm.2016.0135openalex-snapshot
Context-Aware Sequential Recommendation
inferredcites →https://doi.org/10.1109/mlsp.2016.7738886openalex-snapshot
ITEM2VEC: Neural item embedding for collaborative filtering
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2019.2893638openalex-snapshot
Adversarial Training Towards Robust Multimedia Recommender System
inferredcites →https://doi.org/10.1109/tkde.2021.3074395openalex-snapshot
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
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/tnnls.2020.3028572openalex-snapshot
IPGAN: Generating Informative Item Pairs by Adversarial Sampling
inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot
Relational learning via collective matrix factorization
inferredcites →https://doi.org/10.1145/2046684.2046692openalex-snapshot
Adversarial machine learning
inferredcites →https://doi.org/10.1145/2351333.2351337openalex-snapshot
Experimental analysis on cross domain preferences association and rating prediction
inferredcites →https://doi.org/10.1145/2488388.2488441openalex-snapshot
Personalized recommendation via cross-domain triadic factorization
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3041021.3054207openalex-snapshot
CCCFNet
inferredcites →https://doi.org/10.1145/3073565openalex-snapshot
Cross Domain Recommender Systems
inferredcites →https://doi.org/10.1145/3209978.3209981openalex-snapshot
Adversarial Personalized Ranking for Recommendation
inferredcites →https://doi.org/10.1145/3219819.3219828openalex-snapshot
Perceive Your Users in Depth
inferredcites →https://doi.org/10.1145/3219819.3220007openalex-snapshot
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
inferredcites →https://doi.org/10.1145/3240323.3240383openalex-snapshot
RecGAN
inferredcites →https://doi.org/10.1145/3269206.3271684openalex-snapshot
CoNet
inferredcites →https://doi.org/10.1145/3298689.3346997openalex-snapshot
Recommending what video to watch next
inferredcites →https://doi.org/10.1145/3308558.3313538openalex-snapshot
Cross-domain Recommendation Without Sharing User-relevant Data
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/10.1145/3331184.3331192openalex-snapshot
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331321openalex-snapshot
Adversarial Collaborative Neural Network for Robust Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371793openalex-snapshot
DDTCDR
inferredcites →https://doi.org/10.1145/3357384.3357914openalex-snapshot
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
inferredcites →https://doi.org/10.1145/3357384.3357992openalex-snapshot
DTCDR
inferredcites →https://doi.org/10.1145/3447548.3467140openalex-snapshot
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3461598.3461609openalex-snapshot
Cross-Domain Recommendation based on Heterogeneous information network with Adversarial learning
inferredcites →https://doi.org/10.1145/3485447.3512111openalex-snapshot
Filter-enhanced MLP is All You Need for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498392openalex-snapshot
Personalized Transfer of User Preferences for Cross-domain Recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.24963/ijcai.2017/343openalex-snapshot
Cross-Domain Recommendation: An Embedding and Mapping Approach
inferredcites →https://doi.org/10.24963/ijcai.2019/187openalex-snapshot
Deep Adversarial Social Recommendation
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.2019/587openalex-snapshot
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
inferredcites →https://doi.org/10.24963/ijcai.2021/639openalex-snapshot
Cross-Domain Recommendation: Challenges, Progress, and Prospects
inferredcites →https://doi.org/10.24963/ijcai.2022/297openalex-snapshot
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
inferredcites →https://doi.org/10.48550/arxiv.1206.2944openalex-snapshot
Practical Bayesian Optimization of Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1706.04156openalex-snapshot
Gradient descent GAN optimization is locally stable
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.1805.10965openalex-snapshot
Lipschitz regularity of deep neural networks: analysis and efficient estimation
inferredcites →https://doi.org/10.48550/arxiv.1812.06229openalex-snapshot
Domain-to-Domain Translation Model for Recommender System
inferredcites →https://doi.org/10.48550/arxiv.2107.10060openalex-snapshot
Conditional GANs with Auxiliary Discriminative Classifier

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-92-0366-6_17openalex-snapshot
Disentanglement-Based Contrastive Learning and Optimization for User Identity Linkage
inferred← citeshttps://doi.org/10.1016/j.aej.2025.03.114openalex-snapshot
Emotion-driven music recommendation system based on fully convolutional recurrent attention networks and collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.dajour.2024.100518openalex-snapshot
A systematic review of the literature on deep learning approaches for cross-domain recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122880openalex-snapshot
DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113112openalex-snapshot
Cross-domain recommendation via knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.procs.2025.03.091openalex-snapshot
Cross-Domain Recommendation: Leveraging Semantic Alignment and User Clustering to Address Data Sparsity
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/gcce65946.2025.11274618openalex-snapshot
Multimodal Cross-Domain Recommendation with Cosine Similarity-Based Representation Disentanglement
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461900openalex-snapshot
Causal Intervented Disentanglement for Multi-Source Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icpads67057.2025.11323121openalex-snapshot
Federated Cross-Domain Recommendation Based on Adaptive Weights and Consensus Encryption
inferred← citeshttps://doi.org/10.1109/tmm.2024.3374577openalex-snapshot
Inter- and Intra-Domain Potential User Preferences for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1111/exsy.70087openalex-snapshot
Federated Cross‐Domain Recommendation Framework With Graph Neural Network
inferred← citeshttps://doi.org/10.1145/3616855.3635809openalex-snapshot
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
inferred← citeshttps://doi.org/10.1145/3640457.3688114openalex-snapshot
Discerning Canonical User Representation for Cross-Domain Recommendation
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/10.1145/3641286openalex-snapshot
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3742791openalex-snapshot
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems
inferred← citeshttps://doi.org/10.1145/3765614openalex-snapshot
A cross-domain recommender system using deep coupled autoencoders
inferred← citeshttps://doi.org/10.1145/3793449.3793479openalex-snapshot
Causality-Aware Recommender Systems (CARS): A Fairness- Centered Approach for Robust and Transparent Recommendations
inferred← citeshttps://doi.org/10.4018/ijisss.400756openalex-snapshot
A Generative AI Framework for Enhancing Human-AI Collaborative Creation in Artistic Design Services
inferred← citeshttps://doi.org/10.54254/2755-2721/44/20230485openalex-snapshot
Multi-source serialization cross-domain recommendation algorithm based on deep learning
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