mlsanityData to 7 Oct 2026

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy

arXiv 2504.08751 ↗First posted 27 Mar 2025cs.IR cs.AI cs.CRcited by 9

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Abstract (arXiv)

With the rapid development of short video platforms, recommendation systems have become key technologies for improving user experience and enhancing platform engagement. However, while short video recommendation systems leverage multimodal information (such as images, text, and audio) to improve recommendation effectiveness, they also face the severe challenge of user privacy leakage. This paper proposes a short video recommendation system based on multimodal information and differential privacy protection. First, deep learning models are used for feature extraction and fusion of multimodal data, effectively improving recommendation accuracy. Then, a differential privacy protection mechanism suitable for recommendation scenarios is designed to ensure user data privacy while maintaining system performance. Experimental results show that the proposed method outperforms existing mainstream approaches in terms of recommendation accuracy, multimodal fusion effectiveness, and privacy protection performance, providing important insights for the design of recommendation systems for short video platforms.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 27 of its 43 references that are in the map. First posted on arXiv 27 Mar 2025.

Builds on

27 of 43 references.

References · 27

  1. 2024Reinforcement learningcited by 236
  2. 2024Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Factscited by 36
  3. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  4. 2024A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Productcited by 22
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  6. 2024TD3 Based Collision Free Motion Planning for Robot Navigationcited by 18
  7. 2024Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learningcited by 17
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  2. 2024DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environmentcited by 10
  3. 2024Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Datacited by 9
  4. 2024Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interactioncited by 9
  5. 2024Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learningcited by 8
  6. 2024Exploiting Diffusion Prior for Out-of-Distribution Detectioncited by 7
  7. 2024Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradientcited by 7
  8. 2024Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention modelcited by 7
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  15. 2024Multi-modal clothing recommendation model based on large model and VAE enhancementcited by 1

Built on by

Cited by year

Citing papers per year: 2025: 9.

9 papers.

  1. 2025Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networkscited by 6
  2. 2025Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systemscited by 6
  3. 2025Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMscited by 5
  4. 2025RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenderscited by 5
  5. 2025Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systemscited by 3
  6. 2025LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLPcited by 2
  7. 2025Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLMcited by 2
  8. 2025Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Userscited by 1
  9. 2025Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platformscited by 0