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Sequential and Graphical Cross-Domain Recommendations with a Multi-View Hierarchical Transfer Gate

https://doi.org/10.1145/3604615
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-59419-0_39openalex-snapshot
Recurrent Convolution Basket Map for Diversity Next-Basket Recommendation
inferredcites →https://doi.org/10.1007/978-3-319-91452-7_11openalex-snapshot
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
inferredcites →https://doi.org/10.1007/978-3-662-44848-9_34openalex-snapshot
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.ins.2021.02.009openalex-snapshot
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2019.102142openalex-snapshot
Graph neural news recommendation with long-term and short-term interest modeling
inferredcites →https://doi.org/10.1016/j.ipm.2020.102277openalex-snapshot
MGAT: Multimodal Graph Attention Network for Recommendation
inferredcites →https://doi.org/10.1109/78.650093openalex-snapshot
Bidirectional recurrent neural networks
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1145/1183614openalex-snapshot
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot
Relational learning via collective matrix factorization
inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot
A matrix factorization technique with trust propagation for recommendation in social networks
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/10.1145/3038912openalex-snapshot
Proceedings of the 26th International Conference on World Wide Web - WWW '17
inferredcites →https://doi.org/10.1145/3132847openalex-snapshot
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3397271openalex-snapshot
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3397271.3401142openalex-snapshot
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3441446openalex-snapshot
Side Information Fusion for Recommender Systems over Heterogeneous Information Network
inferredcites →https://doi.org/10.1145/3442201openalex-snapshot
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network
inferredcites →https://doi.org/10.1145/3447395openalex-snapshot
Dual-Embedding based Deep Latent Factor Models for Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467427openalex-snapshot
Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation
inferredcites →https://doi.org/10.1145/3503161.3548072openalex-snapshot
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.330194openalex-snapshot
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-82427-2_18openalex-snapshot
Incorporating Multi-scale Temporal Dynamics Into Graph-based Recommender Systems
inferred← citeshttps://doi.org/10.1007/s41109-025-00730-xopenalex-snapshot
Dynamic user preference modeling in graph-based recommender systems
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.2026.132408openalex-snapshot
Prompt-based cross-domain graph distillation network for smart tourism recommendation
inferred← citeshttps://doi.org/10.1016/j.is.2024.102427openalex-snapshot
A survey of sequential recommendation systems: Techniques, evaluation, and future directions
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113766openalex-snapshot
Noise-enhanced graph contrastive learning for multimodal recommendation systems
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107906openalex-snapshot
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107969openalex-snapshot
Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations
inferred← citeshttps://doi.org/10.1109/tsc.2025.3620425openalex-snapshot
Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3617598openalex-snapshot
Modeling Users’ Curiosity in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3690654openalex-snapshot
A Deep Learning Model for Cross-Domain Serendipity Recommendations
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