mlsanityData to 7 Oct 2026

Cross-Domain Recommendation: Challenges, Progress, and Prospects

arXiv 2103.01696 ↗First posted 2 Mar 2021cs.IR cs.AI cs.LGcited by 74

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Abstract (arXiv)

To address the long-standing data sparsity problem in recommender systems (RSs), cross-domain recommendation (CDR) has been proposed to leverage the relatively richer information from a richer domain to improve the recommendation performance in a sparser domain. Although CDR has been extensively studied in recent years, there is a lack of a systematic review of the existing CDR approaches. To fill this gap, in this paper, we provide a comprehensive review of existing CDR approaches, including challenges, research progress, and future directions. Specifically, we first summarize existing CDR approaches into four types, including single-target CDR, multi-domain recommendation, dual-target CDR, and multi-target CDR. We then present the definitions and challenges of these CDR approaches. Next, we propose a full-view categorization and new taxonomies on these approaches and report their research progress in detail. In the end, we share several promising research directions in CDR.

Key facts. Cited by 74 papers in the map (data through 7 Oct 2026). Builds on 11 of its 102 references that are in the map. First posted on arXiv 2 Mar 2021.

Builds on

11 of 102 references.

References · 11

  1. 2019Sequential Recommender Systems: Challenges, Progress and Prospectscited by 115
  2. 2018CoNet: Collaborative Cross Networks for Cross-Domain Recommendationcited by 81
  3. 2019DDTCDR: Deep Dual Transfer Cross Domain Recommendationcited by 71
  4. 2020CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Networkcited by 42
  5. 2019DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patternscited by 33
  6. 2020A Deep Framework for Cross-Domain and Cross-System Recommendationscited by 24
  7. 2020Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendationcited by 17
  8. 2018Cross-domain Recommendation via Deep Domain Adaptationcited by 12
  9. 2020Secure Social Recommendation based on Secret Sharingcited by 12
  10. 2019Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Textcited by 8
  11. 2020Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Modelcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 12; 2023: 11; 2024: 22; 2025: 15; 2026: 5.

74 papers.

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  1. 2022Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)cited by 396
  2. 2023Large Language Models are Zero-Shot Rankers for Recommender Systemscited by 307
  3. 2023Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender Systemcited by 241
  4. 2022Towards Universal Sequence Representation Learning for Recommender Systemscited by 120
  5. 2022Learning Vector-Quantized Item Representation for Transferable Sequential Recommenderscited by 112
  6. 2021Graph Learning based Recommender Systems: A Reviewcited by 59
  7. 2021A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directionscited by 30
  8. 2023MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendationcited by 30
  9. 2022Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendationcited by 22
  10. 2023Cross-domain recommendation via user interest alignmentcited by 19
  11. 2024LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendationcited by 19
  12. 2025LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendationcited by 19
38 more
  1. 2024Language Representations Can be What Recommenders Need: Findings and Potentialscited by 18
  2. 2022Exploiting Data Sparsity in Secure Cross-Platform Social Recommendationcited by 17
  3. 2025A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigmscited by 17
  4. 2021Pre-training Graph Neural Network for Cross Domain Recommendationcited by 14
  5. 2022Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendationcited by 14
  6. 2024Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendationcited by 13
  7. 2022DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendationcited by 11
  8. 2023HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extractioncited by 11
  9. 2024Training Machine Learning models at the Edge: A Surveycited by 11
  10. 2023PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendationcited by 9
  11. 2024Federated Graph Learning for Cross-Domain Recommendationcited by 9
  12. 2021An Adaptive Graph Pre-training Framework for Localized Collaborative Filteringcited by 8
  13. 2024Preference Diffusion for Recommendationcited by 8
  14. 2025GiGL: Large-Scale Graph Neural Networks at Snapchatcited by 8
  15. 2023A Collaborative Transfer Learning Framework for Cross-domain Recommendationcited by 7
  16. 2023Multi-domain Recommendation with Embedding Disentangling and Domain Alignmentcited by 7
  17. 2023Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendationcited by 7
  18. 2025Universal Item Tokenization for Transferable Generative Recommendationcited by 7
  19. 2022Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendationcited by 6
  20. 2022Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendationcited by 6
  21. 2024A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendationcited by 5
  22. 2024UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendationscited by 4
  23. 2024Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Predictioncited by 4
  24. 2024Diffusion Cross-domain Recommendationcited by 3
  25. 2024Large Language Models Make Sample-Efficient Recommender Systemscited by 3
  26. 2025Revisiting Self-attention for Cross-domain Sequential Recommendationcited by 3
  27. 2021Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendationcited by 2
  28. 2022Heterogeneous Information Crossing on Graphs for Session-based Recommender Systemscited by 2
  29. 2023Pre-trained Recommender Systems: A Causal Debiasing Perspectivecited by 2
  30. 2025PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matchingcited by 2
  31. 2024Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendationcited by 1
  32. 2024Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendationcited by 1
  33. 2024Cross-domain Transfer of Valence Preferences via a Meta-optimization Approachcited by 1
  34. 2025Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendationcited by 1
  35. 2025JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecturecited by 1
  36. 2025RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendationcited by 1
  37. 2026SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendationcited by 1
  38. 2026LLM Agents Enable User-Governed Personalization Beyond Platform Boundariescited by 1

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