mlsanityData to 14 Oct 2026

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation

arXiv 2209.10163 ↗First posted 21 Sep 2022cs.IR cs.AIcited by 11

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Abstract (arXiv)

Sequential Recommendation (SR) characterizes evolving patterns of user behaviors by modeling how users transit among items. However, the short interaction sequences limit the performance of existing SR. To solve this problem, we focus on Cross-Domain Sequential Recommendation (CDSR) in this paper, which aims to leverage information from other domains to improve the sequential recommendation performance of a single domain. Solving CDSR is challenging. On the one hand, how to retain single domain preferences as well as integrate cross-domain influence remains an essential problem. On the other hand, the data sparsity problem cannot be totally solved by simply utilizing knowledge from other domains, due to the limited length of the merged sequences. To address the challenges, we propose DDGHM, a novel framework for the CDSR problem, which includes two main modules, i.e., dual dynamic graph modeling and hybrid metric training. The former captures intra-domain and inter-domain sequential transitions through dynamically constructing two-level graphs, i.e., the local graphs and the global graph, and incorporating them with a fuse attentive gating mechanism. The latter enhances user and item representations by employing hybrid metric learning, including collaborative metric for achieving alignment and contrastive metric for preserving uniformity, to further alleviate data sparsity issue and improve prediction accuracy. We conduct experiments on two benchmark datasets and the results demonstrate the effectiveness of DDHMG.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 27 of its 47 references that are in the map. First posted on arXiv 21 Sep 2022.

Builds on

27 of 47 references.

References · 27

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15 more
  1. 2021Dynamic Graph Neural Networks for Sequential Recommendationcited by 57
  2. 2019Rethinking the Item Order in Session-based Recommendation with Graph Neural Networkscited by 43
  3. 2020CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Networkcited by 42
  4. 2021DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendationcited by 34
  5. 2019DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patternscited by 33
  6. 2019From Zero-Shot Learning to Cold-Start Recommendationcited by 29
  7. 2020Mixed Information Flow for Cross-domain Sequential Recommendationscited by 22
  8. 2022Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendationcited by 22
  9. 2019Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendationscited by 21
  10. 2021A Unified Framework for Cross-Domain and Cross-System Recommendationscited by 19
  11. 2021Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Predictioncited by 17
  12. 2021Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendationcited by 16
  13. 2022Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendationcited by 14
  14. 2020DGTN: Dual-channel Graph Transition Network for Session-based Recommendationcited by 8
  15. 2019Balancing Multi-level Interactions for Session-based Recommendationcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 4; 2025: 2; 2026: 3.

11 papers.

  1. 2024Plug-in Diffusion Model for Sequential Recommendationcited by 37
  2. 2024Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendationcited by 15
  3. 2025Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendationcited by 15
  4. 2024Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendationcited by 7
  5. 2024Modality-Balanced Learning for Multimedia Recommendationcited by 5
  6. 2023In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systemscited by 1
  7. 2023Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Networkcited by 0
  8. 2025An item is worth one token in Multimodal Large Language Models-based Sequential Recommendationcited by 0
  9. 2026SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Modelscited by 0
  10. 2026CoRCi: Cross-Reconstruction of Coherent Interests Modeling in Cross-Domain Sequential Recommendationcited by 0
  11. 2026FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Modelscited by 0