Noise-reducing graph neural network with intent-target co-action for session-based recommendation.
Shutong QiaoWei ZhouFengji LuoJunhao WenPublished in: Inf. Process. Manag. (2023)
Keyphrases
- neural network
- train a neural network
- noise level
- random noise
- noise reduction
- back propagation
- graph theory
- noisy data
- structured data
- random walk
- collaborative filtering
- recommender systems
- genetic algorithm
- neural network is trained
- recommendation systems
- weighted graph
- artificial neural networks
- pattern recognition
- bp neural network
- bipartite graph
- graph representation
- general regression neural networks
- median filter
- user feedback
- graph structure
- recurrent neural networks
- graph matching
- signal to noise ratio
- fault diagnosis
- prediction model
- graph mining
- graph model
- neural network model
- user preferences
- search sessions
- denoising
- fuzzy logic
- reinforcement learning
- social networks