mlsanityData to 14 Oct 2026

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

arXiv 2506.05873 ↗First posted 6 Jun 2025cs.IR cs.AIcited by 6

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Abstract (arXiv)

With the rapid growth of fintech, personalized financial product recommendations have become increasingly important. Traditional methods like collaborative filtering or content-based models often fail to capture users' latent preferences and complex relationships. We propose a hybrid framework integrating large language models (LLMs) and graph neural networks (GNNs). A pre-trained LLM encodes text data (e.g., user reviews) into rich feature vectors, while a heterogeneous user-product graph models interactions and social ties. Through a tailored message-passing mechanism, text and graph information are fused within the GNN to jointly optimize embeddings. Experiments on public and real-world financial datasets show our model outperforms standalone LLM or GNN in accuracy, recall, and NDCG, with strong interpretability. This work offers new insights for personalized financial recommendations and cross-modal fusion in broader recommendation tasks.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 34 of its 54 references that are in the map. First posted on arXiv 6 Jun 2025.

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34 of 54 references.

References · 34

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  6. 2024A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Productcited by 22
  7. 2024Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristicscited by 21
  8. 2024Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNNcited by 15
  9. 2024Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layoutcited by 14
  10. 2024Application of an ANN and LSTM-based Ensemble Model for Stock Market Predictioncited by 13
  11. 2024Enhanced Recommendation Combining Collaborative Filtering and Large Language Modelscited by 10
  12. 2025Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healingcited by 10
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  9. 2024CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modulescited by 7
  10. 2024Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention modelcited by 7
  11. 2025NeRF-Based defect detectioncited by 7
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  13. 2025II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mappingcited by 7
  14. 2025CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstructioncited by 7
  15. 2025A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical fieldcited by 6
  16. 2025Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learningcited by 6
  17. 2025Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusioncited by 6
  18. 2025Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Modelscited by 6
  19. 2025AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validationcited by 5
  20. 2024Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)cited by 4
  21. 2025Automated Parking Trajectory Generation Using Deep Reinforcement Learningcited by 4
  22. 2025Intelligent road crack detection and analysis based on improved YOLOv8cited by 2

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Cited by year

Citing papers per year: 2025: 6.

6 papers.

  1. 2025Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systemscited by 6
  2. 2025Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMscited by 5
  3. 2025RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenderscited by 5
  4. 2025Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chaincited by 2
  5. 2025LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLPcited by 2
  6. 2025Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platformscited by 0