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Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation

https://doi.org/10.1145/3522762
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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/10.1007/978-3-030-01219-9_11openalex-snapshot
Multimodal Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1007/978-3-030-15719-7_3openalex-snapshot
Cross-Domain Recommendation via Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-73078-1_44openalex-snapshot
Cross-Domain Mediation in Collaborative Filtering
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/10.1016/0024-3795(79)90044-2openalex-snapshot
On matrix equivalence and matrix equations
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tkde.2020.3023589openalex-snapshot
Domain-Adversarial Network Alignment
inferredcites →https://doi.org/10.1109/tpami.2018.2889774openalex-snapshot
Advances in Variational Inference
inferredcites →https://doi.org/10.1109/tpami.2020.3032189openalex-snapshot
Learning on Attribute-Missing Graphs
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1145/1292591.1292595openalex-snapshot
Does a one-size recommendation system fit all? the effectiveness of collaborative filtering based recommendation systems across different domains and search modes
inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot
Relational learning via collective matrix factorization
inferredcites →https://doi.org/10.1145/1553374.1553454openalex-snapshot
Transfer learning for collaborative filtering via a rating-matrix generative model
inferredcites →https://doi.org/10.1145/1961209.1961213openalex-snapshot
Contextual Video Recommendation by Multimodal Relevance and User Feedback
inferredcites →https://doi.org/10.1145/2339530.2339730openalex-snapshot
Cross-domain collaboration recommendation
inferredcites →https://doi.org/10.1145/2488388.2488441openalex-snapshot
Personalized recommendation via cross-domain triadic factorization
inferredcites →https://doi.org/10.1145/2505515.2505665openalex-snapshot
Learning deep structured semantic models for web search using clickthrough data
inferredcites →https://doi.org/10.1145/2507157.2507233openalex-snapshot
Clustering-based factorized collaborative filtering
inferredcites →https://doi.org/10.1145/2724720openalex-snapshot
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information
inferredcites →https://doi.org/10.1145/2736277.2741667openalex-snapshot
A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
inferredcites →https://doi.org/10.1145/2740908.2742726openalex-snapshot
AutoRec
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/3017429openalex-snapshot
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
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/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3331184.3331191openalex-snapshot
CROSS
inferredcites →https://doi.org/10.1145/3336191.3371818openalex-snapshot
Learning a Joint Search and Recommendation Model from User-Item Interactions
inferredcites →https://doi.org/10.1145/3357384.3358166openalex-snapshot
Cross-Domain Recommendation via Preference Propagation GraphNet
inferredcites →https://doi.org/10.1145/3408298openalex-snapshot
Decoupled Variational Embedding for Signed Directed Networks
inferredcites →https://doi.org/10.1162/neco_a_01309openalex-snapshot
Multiview Alignment and Generation in CCA via Consistent Latent Encoding
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015917openalex-snapshot
Understanding VAEs in Fisher-Shannon Plane
inferredcites →https://doi.org/10.1609/aaai.v33i01.330194openalex-snapshot
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-snapshot
Collective Classification in Network Data
inferredcites →https://doi.org/10.2307/2348358openalex-snapshot
Lectures on the Coupling Method.
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/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.4230/lipics.wads.2025.45openalex-snapshot
Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1606.00704openalex-snapshot
Adversarially Learned Inference
inferredcites →https://doi.org/10.48550/arxiv.1606.00709openalex-snapshot
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
inferredcites →https://doi.org/10.48550/arxiv.1606.03657openalex-snapshot
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1705.07120openalex-snapshot
VAE with a VampPrior
inferredcites →https://doi.org/10.48550/arxiv.1705.07761openalex-snapshot
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
inferredcites →https://doi.org/10.48550/arxiv.1706.02262openalex-snapshot
InfoVAE: Information Maximizing Variational Autoencoders
inferredcites →https://doi.org/10.48550/arxiv.1802.06677openalex-snapshot
Degeneration in VAE: in the Light of Fisher Information Loss
inferredcites →https://doi.org/10.48550/arxiv.1802.06847openalex-snapshot
Distribution Matching in Variational Inference
inferredcites →https://doi.org/10.48550/arxiv.1804.04732openalex-snapshot
Multimodal Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.48550/arxiv.1805.11183openalex-snapshot
Semi-Implicit Variational Inference
inferredcites →https://doi.org/10.48550/arxiv.1809.08400openalex-snapshot
Variational Collaborative Learning for User Probabilistic Representation
inferredcites →https://doi.org/10.48550/arxiv.1907.01693openalex-snapshot
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview
inferredcites →https://doi.org/10.48550/arxiv.1910.05189openalex-snapshot
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
inferredcites →https://doi.org/10.5555/2188385.2188410openalex-snapshot
A kernel two-sample test
inferredcites →https://doi.org/10.5555/2567709.2502622openalex-snapshot
Stochastic variational inference
inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot
Domain-adversarial training of neural networks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-92-0375-8_3openalex-snapshot
Mitigating Negative Transfer in Cross-Domain Sequential Recommendation: Collaborative Memory and Gradient-Feedback Reweighting
inferred← citeshttps://doi.org/10.1007/978-981-97-5779-4_11openalex-snapshot
Beyond Users: Denoising Behavior-based Contrastive Learning for Disentangled Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/s10844-024-00872-xopenalex-snapshot
Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation
inferred← citeshttps://doi.org/10.1007/s10994-024-06678-wopenalex-snapshot
Sandbox: safeguarded multi-label learning through safe optimal transport
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A personalized cross-domain recommendation with federated meta learning
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Multi-interest transfer using contrastive learning for cross-domain recommendation
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Efficient and adaptive secure cross-domain recommendations
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SCORE: A convolutional approach for football event forecasting
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A graph neural approach for group recommendation system based on pairwise preferences
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IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113112openalex-snapshot
Cross-domain recommendation via knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114349openalex-snapshot
Parsilo-CDR: Privacy-aware cross-domain recommendation for data silo
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/medcom67532.2025.11404762openalex-snapshot
Graph neural networks for recommendation systems: A survey and future directions
inferred← citeshttps://doi.org/10.1109/tcss.2025.3594667openalex-snapshot
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3178211openalex-snapshot
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
inferred← citeshttps://doi.org/10.1109/tkde.2024.3446581openalex-snapshot
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3523283openalex-snapshot
Conversational Recommendations With User Entity Focus and Multi-Granularity Latent Variable Enhancement
inferred← citeshttps://doi.org/10.1109/tkde.2025.3565793openalex-snapshot
Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2021.3134161openalex-snapshot
Cross-Domain Recommendation Via User-Clustering and Multidimensional Information Fusion
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/10.1109/tnnls.2024.3500096openalex-snapshot
Knowledge-Reinforced Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2025.3595214openalex-snapshot
Towards Fairness Exploration and Optimization for Digital Service Networks
inferred← citeshttps://doi.org/10.1145/3543507.3583263openalex-snapshot
Cross-domain recommendation via user interest alignment
inferred← citeshttps://doi.org/10.1145/3583780.3614977openalex-snapshot
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
inferred← citeshttps://doi.org/10.1145/3626772.3657737openalex-snapshot
Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3630259openalex-snapshot
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3639706openalex-snapshot
Privacy-preserving Multi-source Cross-domain Recommendation Based on Knowledge Graph
inferred← citeshttps://doi.org/10.1145/3640457.3688114openalex-snapshot
Discerning Canonical User Representation for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3690382openalex-snapshot
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3690654openalex-snapshot
A Deep Learning Model for Cross-Domain Serendipity Recommendations
inferred← citeshttps://doi.org/10.1145/3715151openalex-snapshot
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3731715.3733307openalex-snapshot
Diffusion Alignment for Cross Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3737457openalex-snapshot
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3742855openalex-snapshot
Coherence-guided Preference Disentanglement for Cross-domain Recommendations
inferred← citeshttps://doi.org/10.1145/3746252.3761332openalex-snapshot
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3749284openalex-snapshot
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
inferred← citeshttps://doi.org/10.1145/3774907openalex-snapshot
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3808226openalex-snapshot
Disentangling Representations from Search Behaviors for Recommendation via Counterfactual Learning
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Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
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Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
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Device-Cloud Collaborative Learning for Recommendation
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