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Federated Recommendation System, Device, and Method
By using a server and client structure, with clustering of clients, this recommendation system can be flexibly scaled for (e.g.) multinational e-commerce or streaming platforms.
Prof. SONG Linqi, Dr. LI Yinqiao, Mr. LUO Sichun
  • Recommendation System
  • Graph Neural Network
  • Personalization
  • User-Item Interactions
  • Digital Services
  • Streaming
  • News Portals
  • Social Media Platforms
  • Online Marketplaces
TRL
4
Training and/or Operating Graph Neural Network-Based Recommendation System
Using user and item data, this training method for graph neural network-based recommendation systems improves the accuracy of recommendations.
Prof. SONG Linqi, Dr. LI Yinqiao, Mr. LUO Sichun
  • Recommendation System
  • Graph Neural Network
  • Personalization
  • User-Item Interactions
  • Digital Services
  • E-commerce
  • Streaming
  • News Portals
  • Social Media Platforms
  • Online Marketplaces
TRL
4
Training and Operating Neural Network Based Ranking Model
The patent introduces a novel computer-implemented method for training a neural network-based ranking model that effectively addresses the imbalanced data distribution problem.
Prof. SONG Linqi, Mr. LUO Sichun
  • Neural Network
  • Ranking Model
  • Data Augmentation
  • Contrastive Learning
  • Query-Document Pair
  • Relevance Judgement
  • Long-Tail Distribution
  • Search Engines
  • Information Retrieval
  • Machine Learning
  • Data Processing
  • Artificial Intelligence
  • User Feedback Analysis
TRL
5

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