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Cross-Domain Recommendation: An Embedding and Mapping Approach

https://doi.org/10.24963/ijcai.2017/343
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What this work says

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

inferredcites →https://doi.org/10.1109/72.80266openalex-snapshot
The multilayer perceptron as an approximation to a Bayes optimal discriminant function
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
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/10.1145/1401890.1401969openalex-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/10.1145/2009916.2009961openalex-snapshot
Functional matrix factorizations for cold-start recommendation
inferredcites →https://doi.org/10.1145/2020408.2020504openalex-snapshot
Localized factor models for multi-context recommendation
inferredcites →https://doi.org/10.1145/2124295.2124365openalex-snapshot
Exploring social influence via posterior effect of word-of-mouth recommendations
inferredcites →https://doi.org/10.1145/2484028.2484035openalex-snapshot
Addressing cold-start in app recommendation
inferredcites →https://doi.org/10.1145/2488388.2488445openalex-snapshot
HeteroMF
inferredcites →https://doi.org/10.1145/2623330.2623657openalex-snapshot
Matching users and items across domains to improve the recommendation quality
inferredcites →https://doi.org/10.1145/2806416.2806503openalex-snapshot
Context-Adaptive Matrix Factorization for Multi-Context Recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1609/aaai.v24i1.7578openalex-snapshot
Transfer Learning in Collaborative Filtering for Sparsity Reduction
inferredcites →https://doi.org/10.1609/aaai.v28i1.8739openalex-snapshot
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1309.4168openalex-snapshot
Exploiting Similarities among Languages for Machine Translation
inferredcites →https://doi.org/10.5591/978-1-57735-516-8/ijcai11-386openalex-snapshot
Transfer learning to predict missing ratings via heterogeneous user feedbacks

What points at this work

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

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Can Your Toothpaste Shopping Predict Mutual Funds Purchasing? Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning
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Pptcdr: Personalized Preference Transfer Cross-Domain Recommendation Based on Heterogeneous Graph Neural Networks
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A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
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Single&Cross: A Graph-Enhanced Framework for Cross-Domain Recommendation with Transfer Learning
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Design and Evaluation of Cross-Domain Recommender Systems
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SARFM: A Sentiment-Aware Review Feature Mapping Approach for Cross-Domain Recommendation
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Cross-Domain Recommendation via Deep Domain Adaptation
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Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning
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Long Short-Term Memory with Sequence Completion for Cross-Domain Sequential Recommendation
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Neural Cross-Domain Collaborative Filtering with Shared Entities
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Embedding-Based Network Alignment Using Neural Tensor Networks
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Attention-Based Multi-view Feature Fusion for Cross-Domain Recommendation
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Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation
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Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation
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Utilizing Social Media Retweeting for Improving Event Participant Prediction
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MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users
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Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment
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CPR: Cross-Domain Preference Ranking with User Transformation
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Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation
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CLCDR: Contrastive Learning for Cross-Domain Recommendation to Cold-Start Users
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Disentangled Contrastive Learning for Cross-Domain Recommendation
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A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation
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Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
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Large Language Models are Zero-Shot Rankers for Recommender Systems
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Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer
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A Study on Privacy-Preserving Transformer Model for Cross-Domain Recommendation
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Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation
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gCDR: A Group Aided Cross-Domain Recommendation Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-04549-2_4openalex-snapshot
Federated Privacy-Preserving for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-91452-7_11openalex-snapshot
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
inferred← citeshttps://doi.org/10.1007/978-3-319-99365-2_29openalex-snapshot
Cross-Domain Recommendation for Mapping Sentiment Review Pattern
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Cluster-Guided Disentangled Representation for Cold-Start Cross-Domain Recommendation
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/10.1007/978-981-92-2494-4_17openalex-snapshot
Score: Bursting Dual Heterogeneity with a Semantic-Collaborative Graph Attention Framework for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-92-2759-4_40openalex-snapshot
What To Transfer: Refined Transfer Framework for Universal Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_8openalex-snapshot
UGDA: A Unified Graph-Based Method with Domain-Specific Adaptation for Multi-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-4158-4_23openalex-snapshot
AdaF$$^2$$M$$^2$$: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
inferred← citeshttps://doi.org/10.1007/978-981-95-4445-5_35openalex-snapshot
Dual Prototype Attentive Graph Network for Cross-Market Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-7141-3_12openalex-snapshot
MacCDR: A Memory-Augmented Cluster-Level Preference Mapping Framework for Cross-Domain Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-7141-3_13openalex-snapshot
PFRCRP: Parameter-Factorized Personalized Federated Recommendation for Cross-Domain Rating Predictions
inferred← citeshttps://doi.org/10.1007/978-981-96-0570-5_6openalex-snapshot
Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-6588-4_28openalex-snapshot
Identifying Misaligned Features for Cross-Domain Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-3623-2_13openalex-snapshot
Bridging Recommendations Across Domains: An Overview of Cross-Domain Recommendation
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Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
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Fairness-aware Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-7235-3_13openalex-snapshot
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
inferred← citeshttps://doi.org/10.1007/978-981-97-7707-5_12openalex-snapshot
DFCDR: Domain-Aware Feature Decoupling and Fusion for Cross-Domain Recommendation
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Optimizing Cross-Domain Music Recommendation with Adaptive User Preference Transfer
inferred← citeshttps://doi.org/10.1007/978-981-99-4752-2_27openalex-snapshot
MSAM: Cross-Domain Recommendation Based on Multi-Layer Self-Attentive Mechanism
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Domain-Invariant Task Optimization for Cross-domain Recommendation
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Graph Convolutional Network Based Feature Constraints Learning for Cross-Domain Adaptive Recommendation
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PAENL: personalized attraction enhanced network learning for recommendation
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In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
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Enhanced auxiliary information for personalized cross-domain recommendation
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Guided diffusion cross-domain recommendation with consistency alignment
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Cross-domain collaborative recommendation without overlapping entities based on domain adaptation
inferred← citeshttps://doi.org/10.1007/s10115-019-01396-5openalex-snapshot
CDLFM: cross-domain recommendation for cold-start users via latent feature mapping
inferred← citeshttps://doi.org/10.1007/s10115-023-02015-0openalex-snapshot
Joint knowledge graph approach for event participant prediction with social media retweeting
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CRAS: cross-domain recommendation via aspect-level sentiment extraction
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Cross-domain recommendation via adaptive bi-directional transfer graph neural networks
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Federated cross-domain recommendation system based on bias eliminator and personalized extractor
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User and item spaces transfer from additional domains for cross-domain recommender systems
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USBE: User-similarity based estimator for multimedia cold-start recommendation
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A personalized cross-domain recommendation with federated meta learning
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Cross domain recommendation using dual inductive transfer learning
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User Type Mining and Multi-information Fusion based Cross-region POI Recommendation Method
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Cross-domain recommendation framework for enhanced personalization through contrastive learning
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Deep shared learning and attentive domain mapping for cross-domain recommendation
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EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation
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Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation
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Cross-domain recommender system for non-overlapping domains using clustering-based pattern transfer mechanism
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ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation
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Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization
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Cross-domain incremental recommendation system based on meta learning
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Deep matrix factorization via feature subspace transfer for recommendation system
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An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning
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Entity-relation pair attention-based representation with knowledge graph for media-content cross-domain recommendation
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A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation
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Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation
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Cross-domain attention transfer network for recommendation
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108355openalex-snapshot
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms
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Personalized cross-domain recommendation with meta networks and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.dcan.2022.04.034openalex-snapshot
FedCDR: Privacy-preserving federated cross-domain recommendation
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A mixed heterogeneous factorization model for non-overlapping cross-domain recommendation
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Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model
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Cross-domain recommendation with Multi-Auxiliary Domains via Consistent and Selective Cluster-Level Knowledge Transfer
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A memory pool variational autoencoder framework for cross-domain recommendation
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DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126374openalex-snapshot
Deep User Rating Pattern Mining and Fusion Inference Method for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1016/j.future.2020.02.024openalex-snapshot
Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101892openalex-snapshot
Heterogeneous and clustering-enhanced personalized preference transfer for cross-domain recommendation
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Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2022.11.112openalex-snapshot
Cross-platform sequential recommendation with sharing item-level relevance data
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GMR-Rec: Graph mutual regularization learning for multi-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103494openalex-snapshot
DITN: User’s indirect side-information involved domain-invariant feature transfer network for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103689openalex-snapshot
Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104827openalex-snapshot
FedCRF: A Federated Cross-domain Recommendation method with semantic-driven deep knowledge Fusion
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Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques
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Heterogeneous graph contrastive learning for cold start cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112514openalex-snapshot
Cross-domain recommender system with embedding- and mapping-based knowledge correlation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112919openalex-snapshot
TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113112openalex-snapshot
Cross-domain recommendation via knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.03.016openalex-snapshot
Neighborhood-enhanced transfer learning for one-class collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.11.013openalex-snapshot
A cross-domain hierarchical recurrent model for personalized session-based recommendations
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.015openalex-snapshot
A trust-aware latent space mapping approach for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129208openalex-snapshot
MIMNet: Multi-interest Meta Network with Multi-granularity Target-guided Attention for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131354openalex-snapshot
Triple contrastive learning framework for domain-level zero-shot recommendation
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.06.015openalex-snapshot
Sliced Wasserstein based Canonical Correlation Analysis for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.245openalex-snapshot
meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning
inferred← citeshttps://doi.org/10.1017/9781139061773openalex-snapshot
Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/9781139061773.003openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1017/9781139061773.004openalex-snapshot
Instance-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.005openalex-snapshot
Feature-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.006openalex-snapshot
Model-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.007openalex-snapshot
Relation-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.008openalex-snapshot
Heterogeneous Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.009openalex-snapshot
Adversarial Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.010openalex-snapshot
Transfer Learning in Reinforcement Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.011openalex-snapshot
Multi-task Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.012openalex-snapshot
Transfer Learning Theory
inferred← citeshttps://doi.org/10.1017/9781139061773.013openalex-snapshot
Transitive Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.014openalex-snapshot
AutoTL: Learning to Transfer Automatically
inferred← citeshttps://doi.org/10.1017/9781139061773.015openalex-snapshot
Few-Shot Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.016openalex-snapshot
Lifelong Machine Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.018openalex-snapshot
Privacy-Preserving Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.019openalex-snapshot
Transfer Learning in Computer Vision
inferred← citeshttps://doi.org/10.1017/9781139061773.020openalex-snapshot
Transfer Learning in Natural Language Processing
inferred← citeshttps://doi.org/10.1017/9781139061773.021openalex-snapshot
Transfer Learning in Dialogue Systems
inferred← citeshttps://doi.org/10.1017/9781139061773.022openalex-snapshot
Transfer Learning in Recommender Systems
inferred← citeshttps://doi.org/10.1017/9781139061773.023openalex-snapshot
Transfer Learning in Bioinformatics
inferred← citeshttps://doi.org/10.1017/9781139061773.024openalex-snapshot
Transfer Learning in Activity Recognition
inferred← citeshttps://doi.org/10.1017/9781139061773.025openalex-snapshot
Transfer Learning in Urban Computing
inferred← citeshttps://doi.org/10.1017/9781139061773.026openalex-snapshot
Concluding Remarks
inferred← citeshttps://doi.org/10.1017/9781139061773.027openalex-snapshot
Index
inferred← citeshttps://doi.org/10.1080/09540091.2023.2263664openalex-snapshot
Neighbor interaction-based personalised transfer for cross-domain recommendation
inferred← citeshttps://doi.org/10.1109/access.2018.2850706openalex-snapshot
Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.2982037openalex-snapshot
RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User
inferred← citeshttps://doi.org/10.1109/access.2021.3061279openalex-snapshot
Selective Knowledge Transfer for Cross-Domain Collaborative Recommendation
inferred← citeshttps://doi.org/10.1109/access.2022.3174197openalex-snapshot
Recommender Systems Based on Graph Embedding Techniques: A Review
inferred← citeshttps://doi.org/10.1109/access.2022.3188709openalex-snapshot
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2023.3307015openalex-snapshot
CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3430193openalex-snapshot
KT-CDULF: Knowledge Transfer in Context-Aware Cross-Domain Recommender Systems via Latent User Profiling
inferred← citeshttps://doi.org/10.1109/access.2025.3601992openalex-snapshot
UTAM: A Unified Thematic Mapping Approach for Cross-Domain Personalization and Cold Start Alleviation
inferred← citeshttps://doi.org/10.1109/access.2026.3664871openalex-snapshot
DUPGT-CDR: Deep User Preference Gating Transfer for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/access.2026.3712869openalex-snapshot
Robust Cross-Domain Sequential Recommendation Driven by Causal Disentanglement and Counterfactual Generation
inferred← citeshttps://doi.org/10.1109/access.2026.3728247openalex-snapshot
Large Language Model Semantic-Guided Counterfactual Data Augmentation for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11036029openalex-snapshot
Membership Inference Attacks Against Cross-Domain Recommender Systems
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9005701openalex-snapshot
MC2:Unsupervised Multiple Social Network Alignment
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006266openalex-snapshot
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
inferred← citeshttps://doi.org/10.1109/bigdia68682.2025.11383055openalex-snapshot
NAIR-PrepRec: a negative preference aware and interest intensity reinforced pretrained sequential recommendation model based on PrepRec
inferred← citeshttps://doi.org/10.1109/ccdc58219.2023.10326931openalex-snapshot
Cross-domain recommendation of overlapping users based on self-attention graph convolution network
inferred← citeshttps://doi.org/10.1109/cisce69494.2026.11504984openalex-snapshot
Large Model-Based Representation Learning for Cross-Domain Recommendation and Knowledge Discovery
inferred← citeshttps://doi.org/10.1109/cogmi52975.2021.00026openalex-snapshot
Pre-training Graph Neural Network for Cross Domain Recommendation
inferred← citeshttps://doi.org/10.1109/cscwd.2019.8791500openalex-snapshot
Short Text based Cooperative Classification for Multiple Platforms
inferred← citeshttps://doi.org/10.1109/csde59766.2023.10487686openalex-snapshot
Metadata based Cross-Domain Recommender Framework using Neighborhood Mapping
inferred← citeshttps://doi.org/10.1109/csecs64665.2025.11009398openalex-snapshot
Design Matrix Factorization and Knowledge-Guided Clustering for Trust-Aware Cross-Domain Recommendation Systems
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00100openalex-snapshot
DKD-ZKFL: Privacy Protection Cross Domain Recommendation Framework for Digital Health
inferred← citeshttps://doi.org/10.1109/dsit55514.2022.9943897openalex-snapshot
Cold-Start Sequential Recommendation with Collaborative Boosted Meta Transitional Learning
inferred← citeshttps://doi.org/10.1109/eiecs59936.2023.10435474openalex-snapshot
KCDR: Knowledge Graph Based Model for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/i-coste60462.2023.10500780openalex-snapshot
Metadata Based Cross-Domain Recommender Framework Using Neighborhood Mapping
inferred← citeshttps://doi.org/10.1109/ica67499.2025.00045openalex-snapshot
DF-CDR: A Unified Framework for Dual Fairness in Cross-Domain Recommendation Systems
inferred← citeshttps://doi.org/10.1109/icaci49185.2020.9177746openalex-snapshot
A Novel Weight Update Rule of Online Transfer Learning
inferred← citeshttps://doi.org/10.1109/icait.2019.8935901openalex-snapshot
Cross-Domain Variational Autoencoder for Recommender Systems
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413924openalex-snapshot
Co-Capsule Networks Based Knowledge Transfer for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889985openalex-snapshot
Debiased Estimation for Cross-Domain Cold Start Recommendation
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/icassp55912.2026.11463715openalex-snapshot
Two-Stage Category-Anchored Factorized Disentanglement for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icbk50248.2020.00065openalex-snapshot
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500882openalex-snapshot
Cross-Domain Recommendation with Cross-Graph Knowledge Transfer Network
inferred← citeshttps://doi.org/10.1109/icccbda.2019.8725714openalex-snapshot
Multi-models Dynamic Recommendation for Offline Clothing Sales
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00211openalex-snapshot
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00305openalex-snapshot
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
inferred← citeshttps://doi.org/10.1109/icdew58674.2023.00018openalex-snapshot
Unsupervised Intra-Domain Adaptation for Recommendation via Uncertainty Minimization
inferred← citeshttps://doi.org/10.1109/icdm.2018.00125openalex-snapshot
A General Cross-Domain Recommendation Framework via Bayesian Neural Network
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00166openalex-snapshot
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00017openalex-snapshot
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00037openalex-snapshot
Cross-Store Next-Basket Recommendation
inferred← citeshttps://doi.org/10.1109/icft66708.2025.11336561openalex-snapshot
Reviews and Ratings-Based Recommender System to Alleviate Single and Cross-Domain Data Sparsity
inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859771openalex-snapshot
RPITN: Review Based Preference Invariance Transfer Network for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icpads53394.2021.00090openalex-snapshot
Review-Based Hierarchical Attention Model Trained with Random Back-Transfer for 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/icpads67057.2025.11323185openalex-snapshot
FedPce: Prompt-Based Federated Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/icsecs65227.2025.11279083openalex-snapshot
Implementation and Analysis of Embedding and Mapping Cross-Domain Recommendation (EMCDR) on the Amazon Review Datase
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter65925.2024.00011openalex-snapshot
Using Data Across Dissimilar Domains with Technical and Legal Assurance of Privacy
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter69777.2025.00019openalex-snapshot
Linking Data across Diverse Domains Using Latent Cluster with Differential Privacy
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533861openalex-snapshot
Group-Based Deep Transfer Learning with Mixed Gate Control for Cross- Domain Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534462openalex-snapshot
Cross-Network Community Sensing for Anchor Link Prediction
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191076openalex-snapshot
Two-way Cross-domain Recommendation with Central Social Influence
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191115openalex-snapshot
Cross Domain Deep Collaborative Filtering without Overlapping Data
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191753openalex-snapshot
Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892745openalex-snapshot
Multi-graph Convolutional Feature Transfer for Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650410openalex-snapshot
Contrastive Learning for Extracting Transferable User Profiles in Cross-Domain Recommendation System
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651297openalex-snapshot
Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227226openalex-snapshot
Breaking Walls, Building Bridges: A Language-Adaptive Framework for Multilingual Sequential Recommendation
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/ijcnn64981.2025.11228754openalex-snapshot
Understanding User Behavior in Cross-Domain Recommendation: An LLM-Based Approach
inferred← citeshttps://doi.org/10.1109/iske60036.2023.10481058openalex-snapshot
Research on an Embedding and Mapping Approach with Domain-Independent Latent for Cross-Domain Recommender System
inferred← citeshttps://doi.org/10.1109/jcc72984.2026.00013openalex-snapshot
Meta-Learning Based Interest Selection for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1109/nana.2019.00057openalex-snapshot
Personalized Recommendation for Cold-Start Users via Cluster-Level Latent Feature Model
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