On the public citation graph

DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation

0 signed · 54 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-15719-7_3openalex-snapshot
Cross-Domain Recommendation via Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-30671-7_2openalex-snapshot
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_36openalex-snapshot
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1007/978-981-16-5348-3_48openalex-snapshot
Cross-domain Self-attentive Sequential Recommendations
inferredcites →https://doi.org/10.1007/s00530-022-00923-9openalex-snapshot
Cross-domain collaborative recommendation without overlapping entities based on domain adaptation
inferredcites →https://doi.org/10.1007/s11257-007-9042-9openalex-snapshot
Mediation of user models for enhanced personalization in recommender systems
inferredcites →https://doi.org/10.1007/s11257-018-9217-6openalex-snapshot
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
inferredcites →https://doi.org/10.1016/j.artint.2013.01.003openalex-snapshot
Transfer learning in heterogeneous collaborative filtering domains
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.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/tkde.2021.3104873openalex-snapshot
A Unified Framework for Cross-Domain and Cross-System Recommendations
inferredcites →https://doi.org/10.1109/tkde.2021.3132953openalex-snapshot
A Deep Dual Adversarial Network for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3185101openalex-snapshot
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
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/tpami.2019.2894137openalex-snapshot
Heterogeneous Recommendation via Deep Low-rank Sparse Collective Factorization
inferredcites →https://doi.org/10.1145/1297231openalex-snapshot
Proceedings of the 2007 ACM conference on Recommender systems
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2151163.2151166openalex-snapshot
Impact of data characteristics on recommender systems performance
inferredcites →https://doi.org/10.1145/3336191.3371793openalex-snapshot
DDTCDR
inferredcites →https://doi.org/10.1145/3447548.3467067openalex-snapshot
Debiasing Learning based Cross-domain Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467140openalex-snapshot
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3487331openalex-snapshot
Mixed Information Flow for Cross-Domain Sequential Recommendations
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014806openalex-snapshot
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015941openalex-snapshot
Deep Interest Evolution Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1609/aaai.v35i3.16345openalex-snapshot
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval
inferredcites →https://doi.org/10.18653/v1/p17-1179openalex-snapshot
Adversarial Training for Unsupervised Bilingual Lexicon Induction
inferredcites →https://doi.org/10.24963/ijcai.2020/415openalex-snapshot
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2005.10322openalex-snapshot
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-92-1926-1_36openalex-snapshot
Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-overlapping Settings
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110300openalex-snapshot
Cross-domain recommender systems via multimodal domain adaptation
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.2025.128738openalex-snapshot
A diffusion multi-interest framework for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108167openalex-snapshot
Multi-view transfer for personalized dual target cross-domain recommendation service
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103871openalex-snapshot
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111901openalex-snapshot
Cross-domain contrastive graph neural network for lncRNA–protein interaction prediction
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107192openalex-snapshot
A multi-agent reinforcement learning framework for cross-domain sequential recommendation
inferred← citeshttps://doi.org/10.1109/access.2024.3462750openalex-snapshot
A Systematic Review of the Impact of Auxiliary Information on Recommender Systems
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650226openalex-snapshot
Attention-Based Difficulty Feature Enhancement for Knowledge Tracing
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228744openalex-snapshot
Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation
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/tmm.2025.3645634openalex-snapshot
A Multi-Modal Prompt-Tuning Framework for Non-Overlapping Multi-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3500096openalex-snapshot
Knowledge-Reinforced Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00101openalex-snapshot
PANDA-CDR: Perturbation-Aware and Neural Dual-Channel Alignment for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/yac71005.2026.11615635openalex-snapshot
PNDNet:Positive Negative Density Guided LiDAR–4DRadar Fusion for 3D Object Detection
inferred← citeshttps://doi.org/10.1145/3626772.3657902openalex-snapshot
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3717833openalex-snapshot
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3728359openalex-snapshot
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3742422openalex-snapshot
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3746252.3761270openalex-snapshot
DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831834openalex-snapshot
Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval
inferred← citeshttps://doi.org/10.1145/3805712.3809563openalex-snapshot
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.2139/ssrn.6906932openalex-snapshot
Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
inferred← citeshttps://doi.org/10.3390/electronics13142811openalex-snapshot
Explicitly Exploiting Implicit User and Item Relations in Graph Convolutional Network (GCN) for Recommendation
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.